Executive Summary

The next consequential technology conversation is already here, and this time, it is not about artificial intelligence.

Quantum technology is a fundamentally different approach to conventional computing that harnesses the behavior of subatomic particles to solve problems that have been, until now, completely impossible for current computers. The implications run in two directions: enormous potential for materials technology and simulation, and major dangers to privacy that could render encryption used for anything from financial to military purposes useless. Many corporations are investing billions, and rival nations like China have committed more than $15 billion in public quantum research.

Texas, the nation’s largest energy-producing state and a major hub of technological innovation, thus faces both an opportunity and an obligation. Quantum computing’s advantages in simulating the behavior of matter at the atomic level can build incredible materials technology, from better solar cells to simulations of the very building materials of the universe. Quantum sensing, already commercially deployed, offers immediate value, sharpening exploration precision and protecting infrastructure in an industry that accounted for $366 billion in direct economic activity in 2024.

At the same time, Texas must prepare its critical infrastructure for a world where current encryption is no longer sufficient. Adversaries are already conducting “harvest now, decrypt later” operations, collecting encrypted data for future decryption and yet the Texas Department of Information Resources has not yet published any post-quantum guidance.

Texas is better positioned than many observers recognize. Scott Aaronson, one of the world’s top quantum scientists, assesses the Texas quantum ecosystem as stronger than Colorado’s program, which itself is one of the most successful in the nation. House Bill 4751, the Texas Quantum Initiative Act, signed into law in June 2025, established a formal state framework for quantum investment.

This paper recommends a workforce-first, fiscally conservative approach to deploy existing mechanisms, including the Governor’s University Research Initiative and the Texas University Fund, to build quantum talent and enable the continuation of the Texas Miracle.

Key Points

• Quantum technology spans three verticals: computing (simulation of matter), sensing (precision measurement), and networking (secure communication)
• The clearest near-term threat: quantum computers will break the encryption protecting all digital infrastructure. Adversaries are harvesting data now.
• Texas passed HB 4751, creating a Quantum Initiative, but it remains unfunded. The framework exists, but it needs investment for it to deliver value.
• A workforce-first approach using existing mechanisms (GURI, TUF) costs $15–25M/biennium. This is a fraction of the effort of competing states such as Illinois’s $840M and can enable strong results due to unique advantages of Texas.
• Right now, quantum remains a nascent technology, ripe for research and novel ideas to disrupt present entrants. Texas should invest in talent that transfers across approaches
• A Colorado-style tech hub effort, centrally enabled by the Texas Quantum Initiative, can position Texas to compete for federal investment and with our innate advantages with energy industry, defense connections and academic excellence, win national leadership for quantum scientific capabilities.

Click here to download the full research paper.

I. What is Quantum Technology?

Figure 1

Timeline of Key Quantum Computing Milestones

Quantum technology is the application of quantum mechanics, or physics directing subatomic particles. This particularly pays close attention to subatomic particles’ exotic properties, such as tunneling, which allows them to (on occasion) pass through apparently solid objects; entanglement, where two particles are connected irrespective of distance; and superposition, where the particles can exist in multiple states simultaneously. Despite the counterintuitive nature of these findings, these properties have been experimentally verified by over a hundred years of experimental investigation.

This paper focuses upon the practical utility of their application: quantum computing (where this is used to perform calculations, such as simulating the possible or expected states of matter); quantum networking (where this is used for communication, such as eavesdropping-proof transmissions); and quantum sensing (where this is used to determine the location of items or phenomena, without needing GPS or to find reservoirs of petrochemicals).

A Brief History

The Physics Foundation (1920s–1980s)

Quantum computing traces its origins to the physics revolution of the early twentieth century. This turning point came from a deceptively simple experiment: when scientists fired individual light particles known as photons at a barrier with two narrow slits, the particles did not behave like tiny billiard balls passing through one opening or the other. Instead, each particle appeared to pass through both slits simultaneously, acting as if it were a wave rather than a solid object. This revealed something profound: subatomic particles do not operate the way familiar physical objects do. Whereas we might visualize a moon orbiting a planet akin to billiard balls circling a basketball, electrons orbiting an atom behave altogether differently, acting as a cloud of possibilities, existing in many states at once until the moment they are measured.

This presented a remarkable opportunity. If nature itself was quantum, then it stood to reason that the best computers for it would also be quantum, as they would be working from shared first principles. In 1981, the famous physicist Richard Feynman arrived at exactly this conclusion and concluded that the machines we use today (which store information as ones and zeros) would fall short eventually to quantum computers that accurately modeled reality (Feynman, 1982).

The Bombshell (1994)

Mathematician Peter Shor formally proved that the principles of quantum computation could outperform classical computers, but only in an extremely limited example: quantum computation could factor large numbers faster than any classical computer. This, however, was not an abstract example without consequence. It meant that RSA encryption, the standard protecting nearly all online banking, email and e-commerce, could be broken.

Shor’s algorithm meant that a sufficiently powerful quantum computer would be able to break it. Once it was confirmed, it immediately meant that quantum computers would be a national security concern.

The Slow Buildout (1994–2019)

The theory had advanced, but in practice, quantum systems operated at a highly limited state. Building quantum systems stable enough to function meaningfully as “computers” was out of reach, akin to trying to build calculators out of snow.

Key Points

• Subatomic particles do not behave like physical objects. They exist in multiple states simultaneously until measured. This is called superposition.
• This was discovered by the double-slit experiment, where light behaves simultaneously like a wave as well as a particle.
• In 1981, Feynman concluded that only a quantum computer could efficiently simulate subatomic reality as they actually behave.
• Shor’s algorithm proved that quantum computers could break RSA encryption, thereby making quantum a national security threat.
• By leveraging superposition and entanglement, quantum systems can solve problems that classical machines cannot.
• But not every problem benefits. Most daily computer tasks, such as browsing the internet or running a spreadsheet, do not benefit from any quantum speedup.
• Quantum computing made slow but real progress from 1994 to 2019. Practical results remained elusive.

The Slow Buildout (1994–2019)

With their coherence measured in nanoseconds, they were useful only for toy experiments. While some funding and enthusiasm waned as it became evident that tangible results were still far off, progress continued, however slow and unglamorous. The other verticals for quantum technology also began to find expression now: quantum sensing would begin its conceptual foundations with the Defense Advanced Research Projects Agency (DARPA), the Pentagon’s advanced research arm with broad applications for biological imaging, inertial navigation, and GPS-independent positioning. Quantum networking would also begin its first steps with early experimentations of entanglement-based communications, eventually setting the theoretical foundations for what is now known as quantum key distribution.

Meanwhile, China launched the Micius quantum satellite in 2016 as a proof of space-based quantum networking and has since built a 12,000-kilometer quantum communication network, establishing an early lead in quantum networking that the United States has not yet matched

Acceleration (2019–Present)

In 2019, breakthroughs began to appear and then accelerate. Google’s Sycamore processor performed a computation in 200 seconds that would take the world’s fastest classical computer at the time an estimated 10,000 years (Arute et al., 2019). In 2024, the Google Willow chip crossed an even more fundamental threshold: decreasing error rates as more qubits were added rather than increasing the error rate. This demonstrated for the first time that quantum error correction works at scale (Acharya et al., 2024)

This meant that proof that the fundamental engineering challenge of reducing errors in quantum systems was possible. If we had been trying to build calculators with snow before, this meant that hardening them into ice was possible. Global venture capital exceeded $2 billion in 2024 alone. Cumulative equity funding in the sector has reached nearly $4 billion (McKinsey & Company, 2024).

Key Points

• Quantum sensing laid its foundations with DARPA investment in atomic clocks and GPS-independent navigation. Quantum networking began its first experimental steps.
• In 2019, Google’s Sycamore proved that quantum computers could outperform classical machines on specific tasks. In 2024, Google’s Willow demonstrated that error rates improve as systems scale, proving that the fundamental engineering challenge of building usable quantum computers is feasible.
• China has aggressively pursued quantum satellite communications, launching Micius and demonstrating that quantum networking is possible, at least in theory, for sensitive applications.
• Global venture capital reached nearly $4 billion in 2025 and is set to continue to increase as excitement mounts. This positions quantum excellence in a state as a competitive economic edge.
• There is a clear pattern of decades of slow foundation progress, which is followed by rapid acceleration. Texas is entering into the acceleration phase.

How Quantum Computing Works: Qubits, Entanglement, and Error Correction

Qubits and Superposition

A classical computer stores information as bits: information either as 0 or 1. Conversely, a quantum bit (or “qubit”) can exist in a superposition of both states simultaneously. This is the observed behavior of particles at the quantum scale and can lead to some fascinating consequences. Two qubits in superposition, then, can represent four states at once. Three qubits represent eight. The scaling is exponential and therein lies the power: 300 qubits can represent more states simultaneously than there are atoms in the observable universe.

Entanglement

When qubits become entangled (what Einstein called “spooky action at a distance”), measuring one instantly determines the state of another, regardless of physical separation or distance. Imagine if you had two balls, one in Houston and one in Dallas. If one is measured, the other will always have a corresponding measurement. This is true no matter how far apart they are.

Entanglement allows quantum computers to coordinate computations across many qubits simultaneously and is the basis for quantum networking and quantum-secured communication. Entanglement is what makes quantum computing fundamentally different and with greater potential than classical computing systems.

Error Correction

Qubits are extraordinarily fragile. Often, they require supercooled conditions colder than those in outer space. Any number of interferences can destroy them: heat, vibration, other electronic interferences, and almost any interaction with the environment. This was (and in many ways, still is) the fundamental obstacle with quantum computing: you can build qubits, but they’d break before they did anything useful.

The solution is quantum error correction—an idea that by encoding a single “logical” qubit across many physical qubits, errors can be detected and corrected in real time. Google’s Willow achievement proved that this works at scale: the more physical qubits you add, the fewer errors you get. With that, the threshold has been crossed, though the hard work of getting enough qubits to do useful work remains ahead.

Competing Approaches

Unlike classical computing, which has converged on silicon transistors, quantum computing lacks a single winning technology. Six fundamentally different physical approaches are being pursued, each with distinct tradeoffs. This diversity matters for policy: Texas should invest in talent that transfers across approaches, not in hardware tied to a single bet, which can depreciate.

Table 1

Comparison of Quantum Computing Approaches

Quantum Advantage

Quantum computing is not “faster classical computing” – at least not yet. It is a different way of harnessing nature to do computation. On a few problems, quantum computing promises exponentially faster solutions. For almost all other problems, it offers no advantage whatsoever.

According to quantum computing researchers at Texas universities consulted for this paper, the clearest near-term advantage is in simulating quantum systems such as molecular interactions, materials properties, and chemical reactions. These are problems where the underlying physics is itself quantum mechanical, and classical computers can only approximate what quantum computers can simulate natively.

For classical problems like route planning and grid management, the picture is much murkier. Some quantum approaches have shown early results, but the honest answer is that nobody has yet proven that quantum can beat the best classical methods today. This will likely happen one day, but that day could be five or 20 years away. Leading theorists caution that the gap between proof-of-concept demonstrations and commercially relevant advantage may take years to close.

One telling indicator is that researchers report that even well-resourced quantum computing programs do not yet have enough meaningful workloads to fully utilize existing quantum hardware. The bottleneck, as such, is not with machines, but with algorithms and applications.

How Quantum Sensing Works: Superposition, Interference, and Precision Measurement

Quantum Sensitivity

Classical sensors measure forces acting on physical objects. For example, a spring compresses, a needle deflects, or a voltage changes. Such measurements are limited by thermal noise: the random jiggling of atoms at room temperature drowns out subtle signals. Quantum sensors work differently. By using individual atoms cooled to near absolute zero, they operate entirely below that noise floor. At those temperatures, atoms behave according to quantum mechanics rather than classical physics, and quantum mechanics allows measurements of extraordinary precision to detect changes in gravity, magnetic fields, rotation, and time that would be simply invisible to any classical instrument.

Atom Interferometry

The core mechanism behind most quantum sensors is atom interferometry. When atoms are cooled and placed in superposition, they behave as waves. A quantum sensor splits a cloud of those atoms along two paths and then recombines them. The resulting interference pattern, which is the way that the two wave-paths recombine, is exquisitely sensitive to any physical differences between the two paths. For example, if gravity pulls slightly harder on one path than the other because there is a dense rock formation or a hydrocarbon reservoir, the interference patterns shift in meaningful, measurable ways. One could think of it as the world’s most sensitive ruler, and one that can detect what lies beneath the ground without drilling a single hole.

Maturity

Unlike quantum computing, quantum sensing does not require a breakthrough in error correction or fault tolerance. Quantum gravimeters are already used commercially for oil and gas exploration and underground infrastructure mapping, while quantum atomic clocks provide precision timing for military navigation and defense applications, such as navigation in GPS-denied environments. The US military has over $200 million invested in contracts for quantum sensing systems (Rehman, 2026).

The engineering challenge is miniaturization and cost efficiency, not fundamental scientific discovery.

How Quantum Networking Works: Entanglement, Transmission, and Key Distribution

The No-Cloning Theorem

Classical networks transmit copies of data. When a message travels from Dallas to Houston over the internet, copies of that message pass through routers, servers, and switches along the way. Quantum networks do not and cannot work this way. A quantum state cannot be copied without being destroyed—a fundamental consequence of quantum mechanics known as the ‘no-cloning theorem.’, Importantly, this is a consequence of the law of physics rather than an engineering limitation. As such, it is quantum networking’s greatest security asset. Any attempt to intercept a quantum transmission will disturb the signal in a way the intended recipient can detect. The security of a quantum channel is grounded in the laws of physics themselves.

Transmitting Quantum States

The primary carrier of quantum information is the photon, a unit of light. Entangled photon pairs are pairs whose quantum states are correlated regardless of the distance between them and can be used to establish communication channels between distant nodes. When one photon is measured, the state of its entangled partner is instantly determined, even across large distances. This is the same “spooky action at a distance” that underlies entanglement in quantum computing, applied now to communication rather than computation. It is the mechanism behind quantum key distribution, which uses entangled photons to establish a shared encryption key between two parties, making any eavesdropping physically detectable.

The Distance Problem

Quantum signals degrade over approximately 100 kilometers of optical fiber. Classical repeaters cannot help this, since amplifying a signal requires copying it, and this is prohibited by the previously described no-cloning theorem. Quantum repeaters are the proposed solution: rather than amplifying a signal, they extend entanglement by swapping it between adjacent network segments, stitching together a longer channel from shorter ones. This requires quantum memory—the ability to hold a quantum state at a node while waiting for the neighboring segment to establish its own entanglement. Recent laboratory results have achieved entanglement over 10 kilometers of fiber and quantum teleportation between photons from separate sources, but commercial quantum repeater networks remain a research-stage challenge. The current practical workaround for long distances is satellite-based transmission, as China demonstrated with its Micius satellite in 2016.

Quantum Key Distribution

Quantum key distribution (QKD) is the most mature quantum networking application. It uses quantum mechanics to distribute encryption keys such that any interception is detectable. QKD is distinct from post-quantum cryptography (PQC); PQC replaces vulnerable mathematical assumptions with quantum-resistant ones, while QKD provides a physical mechanism for key exchange whose security requires no mathematical assumption at all. The two are complementary. Their applications and policy implications for Texas are addressed in Sections II and III.

II. The Promise: What Quantum Can Do for Texas

The quantum technology stack has three legs: computing, sensing, and networking. This section focuses on practical applications: what each vertical can do for Texas, grounded in evidence rather than aspirational timelines. Claims are distinguished by evidence level:

Deployed – operational today

Demonstrated – research results published

Theoretical – scientific basis exists

Quantum Computing

Energy, Pharmaceutical, and Materials Science

Evidence Level: Demonstrated (small-scale) / Theoretical (commercially relevant scale)

Texas is the energy capital of the world, and energy science is where quantum computing has its most scientifically credible near-term path. As Scott Aaronson of the University of Texas-Austin noted, quantum simulation, such as using a quantum system to model another quantum system, is the application where physicists have the strongest theoretical reasons to expect an advantage over classical machines.

One image makes the case more clearly than any abstraction. A molecule of penicillin has 41 atoms. Simulating its quantum behavior precisely on a classical computer would require more computational states than there are particles in the observable universe.

This is a fundamental limit of how classical machines represent reality. Quantum computers may change this limit. This opens the door to potential discoveries in drug design, battery chemistry, solar power, and other complex systems that classical computers struggle to model. Because quantum computers can simulate nature in an inherently quantum way, they may lead to discoveries in batteries, solar power, and other complex systems that classical computers would not be able to.

Right now, developing next-generation batteries and efficient solar cells (such as perovskites) relies on expensive, slow trial-and-error in the laboratory. Quantum algorithms offer a path to simulating the chemical pathways of electrolytes, catalysts, and photovoltaic materials with far greater precision. In 2025, researchers used hybrid quantum-classical methods to identify surface defects in perovskite quantum dot solar cells, contributing to a record-breaking 18.3% efficiency. IonQ has demonstrated small-scale simulations of lithium-sulfur battery interactions, with IonQ targeting 2028 for commercially relevant battery modeling (although this relies on the existence of error-corrected “logical qubit” systems that do not exist).

However, this landscape remains largely theoretical. Today, researchers can only simulate small molecules with a handful of atoms. Bridging this gap requires improved fault-tolerant technology yet to be invented. Research and new ideas are urgently needed.

Power Grid Optimization

Evidence Level: Deployed (small-scale) / Theoretical (dynamic stability modeling)

Texas’s Electric Reliability Council of Texas (ERCOT) grid is increasingly complex, managing a volatile mix of energy with varying reliability standards. Outages can have devastating results, with Winter Storm Uri leaving more than 4.5 million homes without power for up to four days and resulting in the deaths of more than 240 Texans (Texas Comptroller of Public Accounts, 2021).

Avoiding this in the future is both a supply and an optimization challenge, and deciding which power plants to activate, where, and when (known as the “unit commitment” problem) is essentially an optimization challenge that grows exponentially more difficult with the system’s complexity from scale to energy source mix.

This is one area where quantum hardware is already in production, although with significant caveats. For example, in Europe, D-Wave’s quantum annealing systems are used by the utility company E.ON for grid partitioning and energy distribution (E.ON, 2021). However, current annealing hardware has only demonstrated unit commitment for roughly a dozen generating units.

ERCOT manages more than 1,800 market participants. Full-scale grid modeling at ERCOT’s scale would require a more powerful class of quantum computer. That is the type being developed by IBM, Google, and other industry partners mentioned in this paper, and that is not yet available at the necessary scale

Catalyst Design for Carbon Capture and Hydrogen

Evidence Level: Theoretical

Industrial chemistry presents some of the clearest “quantum-hard” problems. For example, the Haber-Bosch process for fertilizer production and carbon capture technologies are notoriously inefficient.

If quantum computers can model this faster, this could be one of the highest-value near-term verticals. Industry analyses from BCG and McKinsey identify materials science as the highest-value near-term vertical for quantum computing, with a global value approaching $100 billion by 2035 (Boston Consulting Group, 2021; McKinsey & Company, 2024).

Even a modest improvement in the catalyst efficiency for Texas’s petrochemical refineries would have significant operational savings. Once again, this application remains theoretical and in need of better fault-tolerant hardware, but the economic case is so strong that it justifies workforce investment now.

Quantum Sensing

Quantum sensing is a proven technology. Of the three legs of the quantum stack, this is the one closest to generating real economic value today.

Oil and Gas Exploration and Monitoring

Evidence Level: Deployed (gravimeter instruments) / Demonstrated (oil and gas field surveys)

Quantum sensors exploit quantum mechanical properties to achieve measurement precision that classical instruments cannot approach. Quantum gravimeters can detect minute variations in gravitational fields, revealing underground geological structures (including oil and gas deposits) at higher resolution than conventional survey equipment. This means more precise reservoir mapping, better-informed drilling decisions, and reduced exploration risk. The technology has entered commercial use: Exail’s Absolute Quantum Gravimeter is deployed for subsurface monitoring, while TotalEnergies has partnered with QLM Technology to field-test quantum lidar for methane detection. That said, comparative performance data relative to traditional methods remains proprietary. However, industry investment in this, including quantum computing partnerships by ExxonMobil, BP, and Shell, suggests growing confidence in near-term returns

Pipeline Integrity

Evidence Level: Demonstrated (pipeline leak detection, gas imaging)

Researchers at the University of Oklahoma and Oak Ridge National Laboratory are developing quantum-enhanced fiber-optic sensing systems that can detect oil and gas leaks before they cause environmental damage, with sensitivity far beyond current commercial leak detection systems (University of Oklahoma, 2021). Infleqtion, a Colorado-based quantum company that generated approximately $29 million in revenue in 2024 and holds contracts with NASA and the Department of War, has developed quantum atomic clocks with more than 100 times the precision of legacy systems (Infleqtion, 2024). These are already deployed in mission-critical environments. IonQ’s acquisition of ID Quantique also gave IonQ optical gas imaging technology capable of detecting and identifying gases at distances up to 100 meters. This has immediate applications for Texas energy infrastructure. LongPath Technologies, a quantum sensing company spun out of Colorado’s Elevate Quantum ecosystem, already operates laser-based methane detection systems across hundreds of thousands of acres in the Permian Basin, delivering millions in recovered gas value to Texas operators that would have otherwise been lost to undetected leaks (LongPath Technologies, n.d.; University of Colorado Boulder, 2024).

Defense and Navigation

Evidence Level: Demonstrated (GPS-denied navigation, defense contracts) / Theoretical (orbital quantum sensing payloads)

Quantum sensing has attracted significant attention for its defense applications, especially in modern environments, which are heavily contested by electronic warfare. Quantum gyroscopes and accelerometers can provide GPS-independent navigation, which can be critical in military environments where GPS signals are denied. Navigation systems that do not depend on satellites cannot be spoofed, and thus represent a near-term application rather than a speculative one. DARPA has funded multiple quantum sensing programs; Infleqtion holds an $11 million Department of War contract for mission-critical navigation innovation. Innovation in this technology is directly relevant to Texas’s military installations, including Fort Cavazos and Joint Base San Antonio.

Quantum sensing also intersects with the space economy. The Department of Energy’s Quantum-in-Space collaboration includes IonQ, Honeywell, Boeing, Axiom Space, and Infleqtion, and is developing quantum sensing payloads for orbital deployment, including Earth observation, positioning and navigation, and time synchronization. IonQ acquired satellite company Capella Space and optical communications firm Skyloom Global specifically to build space-based quantum infrastructure.

However, no quantum sensing payload has yet flown in orbit. GPS-denied navigation using quantum gyroscopes exists as prototypes rather than in deployment. The defense investment signals confidence in the science, not readiness for procurement.

Quantum Networking

Quantum networking is the ability to transmit quantum states between distant systems. It is the third pillar of quantum technology, and the least mature for near-term deployment. Its primary application is quantum key distribution, which is a form of communication that uses the laws of physics rather than mathematical complexity to secure communications. Any attempt to intercept a quantum-encrypted signal disturbs the quantum state and reveals the eavesdropper.

Ground-Based QKD

Evidence Level: Deployed (commercial QKD systems are available; JPMorgan, South Korea) / Demonstrated (metropolitan networks)

The technology remains expensive, requires dedicated fiber-optic infrastructure, and is limited to roughly 100 kilometers (67 miles) over fiber before signal degradation.

The industry has made some efforts to resolve these issues. For example, IonQ’s acquisition of ID Quantique also brought a ground-based QKD appliance that integrates with existing Cisco networking infrastructure, reducing deployment complexity. However, each endpoint still requires specialized hardware, and the range limitation remains. Nevertheless, this technology may eventually become relevant for securing specific high-value links.

Satellite-Based QKD

Evidence Level: Demonstrated (China Micius 2016, European ESA SAGA program) / Theoretical (commercial satellite QKD deployment)

Satellite-based QKD extends the range of quantum-secured communications beyond the approximately 100-kilometer limit of ground-based fiber systems. Rather than transmitting quantum states through fiber, satellites distribute entangled photons through open space, where signal loss follows different physics. China’s Micius satellite demonstrated the first intercontinental QKD link in 2016, and the European Space Agency’s SAGA mission is developing the next generation of space-based quantum communications infrastructure.

This technology is still limited. Satellite QKD requires line-of-sight between the satellite and ground stations, meaning that cloud cover, atmospheric turbulence, and daylight can interrupt transmission. Current systems operate most reliably at night under clear skies. Additionally, key generation rates are slow compared to classical encryption; existing systems generate keys at kilobits per second rather than the megabits or gigabits per second that modern communications demand. These constraints make satellite QKD suitable today for securing low-bandwidth, high-value communications rather than general-purpose data transmission.

In this sense, satellite QKD today resembles Morse code in the early telegraph era as a real, functional technology capable of securely transmitting high-value messages, but hardly capable of being the backbone for general communications.

Separating Signal from Noise

Quantum Washing

As quantum computing enters public awareness, a familiar (if unfortunate) pattern from other technology cycles is emerging: companies attaching the word “quantum” to essentially classical products to inflate valuations, win government contracts, or attract investors. “Quantum AI,” “quantum-enhanced analytics,” and “quantum-ready solutions” are, in many cases, merely conventional software products with quantum branding. This has already led to legal consequences: for example, a major quantum computing company, Quantum Computing Inc., already faces a securities fraud class action for allegedly misrepresenting its technology and contracts.

Hype-Driven Policy Risk

Vendor roadmaps can frequently project aggressive timelines for commercial quantum applications that reflect aspirational marketing rather than scientific consensus. When these timelines drive public investment decisions, the result is misallocated capital and eventual public disillusionment that can set back legitimate quantum development by years.

When analyzing vendor case studies claiming quantum advantages in drug simulation, crash testing, and protein folding, the pattern was consistent: the actual published research uses careful language such as “benchmarks” and “proof of principle demonstrations.” Ultimately, the gap between what the science says and what gets presented to investors and legislators can be significant. Outside of quantum simulation, no results today outperform the best classical methods in a fair comparison. The work is scientifically fascinating, but it does not yet constitute any broad quantum advantage.

A Legislator’s Framework

When evaluating quantum claims, three questions cut through the noise:

(1) Does this require actual quantum hardware, or is it classical computing with a quantum label?

(2) Has the claimed advantage been independently demonstrated, or only on the company’s own benchmarks?

(3) Does the timeline assume hardware breakthroughs that have not happened yet?

These are the same instincts legislators should apply to any emerging technology.

III. The Risk: The Encryption Threat

Peter Shor’s 1994 algorithm (Shor, 1994) established that a sufficiently powerful quantum computer could break the cryptographic systems running nearly all online communication. This threat is urgent enough that the National Security Agency has published its Commercial National Security Algorithm Suite 2.0 (National Security Agency, 2020), which mandates that post-quantum cryptographic standards be adopted. The National Institute of Standards and Technology (NIST), a federal agency within the Department of Commerce responsible for establishing the technical standards of American industry and national security, finalized the replacement standards in 2024 after an eight-year evaluation of 82 candidates. Texas needs to modernize, migrating our state systems to post-quantum secure methods for both practical and regulatory reasons.

How Quantum Breaks Encryption

Currently, encryption relies upon the idea that if two parties want to set up a secret channel, they first need to set up a secret code (known as a shared key) in order to communicate. This works because, similar to blending paint, the secret code is made up of the product of numbers. The key exchange functionality relies on mathematical operations that, like blending paint, are easy to perform but practically impossible to reverse. Essentially, it is easy to multiply numbers but hard to factor them.

Quantum systems with Shor’s algorithm, however, break this assumption. For the first time, with a sufficiently powerful quantum computer, one can indeed unmix the paint into its individual colors, or, more specifically, factor the numbers used to create the secret code.

The solution is to use a different type of technology, such as lattice-based cryptography (a form of cryptography involving searching in high-dimensional spaces, akin to trying to find a grain of sand in a haystack), which, to the best of current knowledge, quantum computers cannot break.

Harvest Now, Decrypt Later Operations

The global internet runs through a finite number of cables, and over the past decade, multiple incidents have demonstrated the ability of nation-state actors to divert bulk encrypted traffic through their own infrastructure. This is a form of silent attack known as “harvest now, decrypt later” (HNDL), which allows mass gathering of data now for later exploitation.

Notable examples include a 2016 rerouting of Canadian internet traffic (Demchak & Shavitt, 2018) destined for South Korea into China; and in 2020, data from Google, Amazon, and over 200 other networks (Kovacs, 2020) were redirected through Russia in what appeared to be a coordinated hijacking of the internet’s core routing protocol. A landmark study by the U.S. Naval War College and Tel Aviv University has painstakingly documented how China Telecom maintained points of presence in North America that allowed it to reroute and “wash” U.S. internet traffic through mainland Chinese servers over a period of years.

Although none of these incidents have been officially confirmed as HNDL operations, the pattern is consistent with bulk collection: intercept encrypted traffic, copy it, and forward it to its destination with no visible disruption. The U.S. Department of Homeland Security, the UK’s National Cyber Security Centre, the European Union Agency for Cybersecurity, and the Australian Cyber Security Centre all use their official post-quantum guidance on the explicit premise that adversaries are currently collecting and storing encrypted data for future decryption.

For Texas, the implications are specific. Sites such as Fort Cavazos, Joint Base San Antonio, and Fort Bliss generate military-adjacent communications traffic that is of direct interest to foreign intelligence services. None of this data can be retroactively protected once it has been harvested. Migration to post-quantum cryptography thus must happen before a critical mass of stored intercepts can be decrypted.

Post-Quantum Cryptography

The primary solution to the quantum encryption threat is simply better math. Post-quantum cryptography refers to a new generation of encryption algorithms designed to run on existing computers while remaining mathematically intractable for both classical and quantum attackers. The leading approach is known as lattice-based cryptography, and relies on the difficulty of finding patterns in high-dimensional mathematical structures, which appears to be intractable even for quantum computers.

After an eight-year competition, the National Institute of Standards and Technology (NIST) evaluated 82 candidates. Four were selected. These standards align with the National Security Agency’s Commercial National Security Algorithm Suite 2.0 (CNSA 2.0), which sets the cryptographic requirements for all national security systems and is the standard for all future federal baselines (NIST, 2024).

Table 2

NIST Post-Quantum Cryptographic Standards

The Four Standards

ML-KEM (formerly CRYSTALS-Kyber)

Adopted by: Google Chrome, Apple iMessage, Signal, Cloudflare, Amazon Web Services

This is the primary replacement for the vulnerable key exchange layer. ML-KEM is built on lattice-based mathematics, or, more specifically, the hardness of the Module Learning with Errors problem. No known quantum algorithm can efficiently solve this problem. For Texas agencies, this is the single most important standard.

ML-DSA (formerly CRYSTALS-Dilithium)

Adopted by: Federal agencies (per NSA CNSA 2.0 mandate), Microsoft, IBM, major cloud platforms

This is the primary standard for digital signatures, which is the mechanism that verifies the authenticity of software updates, government credentials, and legal documents. If an attacker can forge a digital signature, they can push fraudulent software updates to state systems or counterfeit official documents.

SLH-DSA (formerly SPHINCS+)

Adopted by: NSA, NIST-recommended conservative backup

This is a backup digital signature standard built on hash-based cryptography rather than lattices. It is deliberately slower and larger than ML-DSA, but relies on mathematical assumptions such that if lattice-based cryptography is ever compromised, SLH-DSA can be a fallback resort.

HQC (Hamming Quasi-Cyclic)

Adopted by: NIST, finalized March 2025. Early industry integration is underway.

Selected by NIST in March 2025 as an additional key exchange standard, HQC is built on code-based cryptography. Distinct from both lattices and hashes like SLH-DSA, its inclusion reflects a deliberate strategy of diversity: no single mathematical breakthrough should collapse the entire post-quantum framework at once.

Industry Adoption and Practical Considerations

Industry has moved quickly, as noted above. Google, Apple, Signal, and Zoom have begun implementing these standards. Amazon Web Services has deployed hybrid post-quantum key exchange across major services.

A notable approach is the cryptographic combiner approach. This method runs multiple key exchanges simultaneously: one classical, one post-quantum, and then combines the results. Even if one of the components is broken, the other will remain secure. This is a defense-in-depth strategy, already deployed by Google and AWS and currently represents the state of the art in transitional cryptographic security.

A remaining practical concern is cryptographic overhead. Post-quantum signatures are much larger, between 24 and 40 times larger than classical ones. This can impact web performance and bandwidth. In early 2025, Google attempted to address this issue for the most latency-sensitive use case (i.e., web certificates) by introducing the Merkle Tree Certificates (MTC). This architecture reduces the data sent during each web connection to a lightweight proof. For other signature applications, such as signed documents and software updates, the larger signatures remain a practical consideration but are not fatal—they increase bandwidth, rather than computation time. A post-quantum Texas state web portal would be no slower than the current one. Signed documents would be slightly larger.

Quantum Key Distribution

As introduced in Section II, quantum key distribution (QKD) represents a fundamentally different approach to the key exchange problem. Rather than relying on mathematical complexity, QKD uses the physical properties of quantum mechanics for security.

Real deployments exist. JPMorgan Chase has piloted QKD-secured networks between data centers (J.P. Morgan, 2022), China operates the world’s largest quantum communication network at over 5,000 kilometers, and commercial QKD-as-a-service offerings are available in multiple countries. These deployments share a common profile, however: specialized, high-value, low-bandwidth links where the cost and complexity of QKD is justified by the sensitivity of the data. They are not a general-purpose communications infrastructure.

Several factors would make a broad Texas deployment premature. Cost is the most immediate barrier. QKD requires specialized hardware at approximately $100,000 per device pair (International Telecommunication Union, 2021), plus dedicated dark fiber, while software-based PQC runs on existing infrastructure at effectively no additional cost. Range remains a hard constraint, with current systems limited to metropolitan distances. QKD also protects only the links where it is physically installed; everything else still requires PQC, making QKD an additional cost on top of migration, rather than an alternative to it.

The NSA’s 2020 advisory, reaffirmed by the Commercial National Security Algorithm Suite 2.0 (CNSA 2.0) in 2025, continues to caution against QKD due to its reliance on trusted relays and its inability to provide source authentication (National Security Agency, 2020). The field is advancing rapidly enough that hardware purchased today may be superseded before it delivers full value. Therefore, the appropriate role for QKD in Texas policy is as an experiment, not a procurement. A pilot deployment at selected facilities would allow the state to evaluate cost, performance, and feasibility in a real-world environment and publish findings to inform future legislative sessions. This would position Texas as informed and forward-looking without committing to infrastructure that may prove premature.

The Texas Gap

Federal agencies operate under Cybersecurity and Infrastructure Security Agency (CISA) mandates to prepare for a post-quantum era, and major technology companies are deploying quantum-resistant encryption protocols across their products. However, the Texas Department of Information Resources has not yet published any post-quantum cryptography guidance. This is something that Texas can, and should, address.

Closing the gap requires care. One important caution emerged from security researchers: that migration must be careful, not rushed. Cryptographic implementations are notoriously fragile, and mandating rapid PQC migration could introduce implementation bugs that create new vulnerabilities. The recommended approach, therefore, is to experiment in controlled pilot environments before mandating broader deployment.

The researchers consulted for this paper laid out a practical three-step approach. First, use what Texas already has. AES-256 symmetric encryption is already quantum-safe and runs on every system in the state that already shares keys for internal state agency communications, encrypted storage, and VPN tunnels between known facilities.

Second, for systems that require key exchange with new parties (such as public-facing websites, inter-agency communications, and digital signatures), migrating to the NIST-recommended lattice-based algorithms is an excellent recommendation. This migration should begin with controlled pilot programs, thereby allowing Texas to identify and resolve implementation issues before broader deployment. Cryptographic combiner approaches, which run classical and post-quantum key exchanges simultaneously so that the system remains secure even if one component fails, offer an additional layer of protection during the transition.

Finally, for the highest-security applications where even mathematical assumptions are unacceptable, Texas Cyber Command and other relevant state entities directed by the Legislature should pilot evaluations of quantum key distribution as a long-term possibility.  This should be treated as an experiment, not a deployment.

IV. The Competitive Landscape

Table 3

Federal Post-Quantum Cryptographic Deadlines

Federal Investment and Opportunity

The federal government has moved past the initial research initiative under President Trump with the National Quantum Initiative Act of 2018 and now has a sustained, bipartisan commitment to quantum technology as a matter of national security and economic competitiveness.  For Texas legislators, three federal developments create both urgency and opportunity: the reauthorization of the National Quantum Initiative with $2.7 billion in proposed funding, new Department of Energy programs targeting energy-sector quantum applications, and binding federal post-quantum cryptography deadlines in 2030 and 2035.

The National Quantum Initiative Reauthorization

The proposed National Quantum Initiative (NQI) Reauthorization Act of 2026, introduced in January 2026 as a bipartisan effort led by Senators Cantwell and Young, would extend the federal quantum mandate through 2034 and authorize the National Science Foundation to expand its Quantum Leap Challenge Institutes from five to ten. These institutes are federally funded multidisciplinary research centers that receive $2 million to $7.5 million annually for up to six years, combining quantum research, industry partnerships, and workforce development. Five currently exist, housed at the University of Illinois, the University of Colorado, UC Berkeley, and the University of Chicago.

Currently, none are in Texas, but UT-Austin, Texas A&M, and Rice University all have research foundations to compete for the new center designations. Since federal reviewers award these institutes to states that have demonstrated sustained commitment to quantum workforce development, expanding faculty hires and research infrastructure is the demonstrated commitment that federal evaluators require. Section V outlines how Texas can position itself to capture these opportunities.

The Department of Energy Research Projects

The Department of Energy’s Advanced Research Projects Agency for Energy launched the Quantum Computing for Computational Chemistry program with $37 million, targeting energy-sector simulations: catalysts, batteries, and grid optimization. The program’s first-ever quantum technology award went to Infleqtion for grid optimization alongside Argonne National Laboratory (based in Lemont, IL). Related to this, Texas A&M researchers have also begun testing quantum algorithms on synthetic ERCOT models. As the nation’s largest energy-producing state and home to the largest independent grid, Texas has a direct pathway into this federal funding track(Advanced Research Projects Agency–Energy, 2024).

The 2035 Compliance Clock

The CISA compliance deadlines of 2030 and 2035 (Cybersecurity and Infrastructure Security Agency, 2023) represent binding federal mandates for Texas systems interoperating with federal infrastructure. The full security strategy is addressed in Sections III and V.

Other States

Table 4

State Quantum Investment Comparison

At the top of the table, Illinois has committed approximately $840 million to quantum technology: $200 million for the Chicago Quantum Exchange, $500 million for the Illinois Quantum and Microelectronics Park on Chicago’s South Side, and $140 million in co-investment with DARPA for a Quantum Proving Ground. At 1.6% of Illinois’s annual general budget, it is a meaningful, if not unprecedented, level of targeted technology spending (Adams, 2026).

This has had significant results: Illinois has attracted major quantum industry partners, including IBM, IonQ, Infleqtion, and PsiQuantum, to create an emerging quantum industry cluster on Chicago’s South Side. Infleqtion alone has committed $50 million and is headquartered there for its global quantum computing operations. These investments signal that Illinois has successfully positioned itself as a destination for the quantum industry, with the jobs, tax revenue, and federal grant co-investment that follow industry concentration.

However, this does not mean that Texas must follow the same path. Illinois’s massive commitment is a gamble, one that is on a technology that is constantly changing and may not prove commercially viable for many years. Leading quantum researchers consulted for this paper noted that current quantum workloads are so limited that they can often be run on cloud-hosted systems in remote locations. As such, Texas does not need to match Illinois dollar-for-dollar. Instead, what Texas needs is the talent that makes every other investment productive.

Thus, of competing state models, Colorado’s is perhaps the most instructive for Texas. Rather than committing hundreds of millions to hardware and facilities, Colorado built around its existing academic anchor at the University of Colorado-Boulder and used modest state investment to leverage federal Tech Hub designation and over $2 billion in projected private capital. Texas has an equivalent—and superior—set of anchors in UT-Austin, Rice University, Texas A&M, and Texas Tech University.

Texas has already taken a first step. House Bill 4751, signed into law in June 2025, formally established the Texas Quantum Initiative, creating a seven-member advisory committee, an executive director position, and the Quantum University and Business Innovation for Texas Fund to cover computing, networking, and sensing. The Legislature now needs to allocate funding to activate what it has already created (HB 4751, 2025).

China and the Geopolitical Race

China has pursued quantum technology with a strategic urgency, though its advantages are not uniform across all three verticals.

In quantum networking, China holds a clear lead. In 2016, China launched Micius, the world’s first quantum-enabled satellite, demonstrating intercontinental quantum key distribution over 4,700 miles between Beijing and Vienna (Liao et al., 2017). By March 2025, it will have extended that reach to 8,000 miles with a quantum link to South Africa. On the ground, China operates a terrestrial QKD network spanning over 7,400 miles and connects more than 150 institutions across four metropolitan areas. Its 15th Five-Year Plan identifies quantum technology as the first of six national priority industries, backed by over $15 billion in public investment.

While China is competitive in quantum computing, it trails the United States in hardware quality and algorithmic sophistication. American companies, including Google, IBM, and Microsoft, maintain advantages in qubit quality, error correction, and commercial ecosystem maturity.

In quantum sensing, China’s investments are substantial but less publicly documented, with a particular emphasis on defense applications. China has explicitly identified quantum precision measurement as a strategic priority and has cited navigation, radar, precision strike, and submarine detection as target applications. These are capabilities with direct implications for American military operations in the Pacific.

Perhaps most concerning for Western security, China has begun developing independent post-quantum cryptography standards. This is a deliberate divergence from the NIST process that the United States and its allies are following. If that divergence continues, the result could be a world divided into incompatible secure communication zones. For Texas military installations and government systems that must interoperate with federal networks, readiness to meet American standards goes beyond the technical necessity and is, in its own way, a declaration of Texas’s commitment to the security architecture of the Western world.

Table 5

International Quantum Technology Strategic Commitments

The American response is catching up. The proposed NQI Reauthorization Act of 2026(S. 3597, 2026) would, for the first time, formally integrate NASA into the national quantum strategy, thereby authorizing research and development in quantum satellite communications and space-based quantum sensing. This is a direct response to China’s demonstrated lead in quantum satellite communications.

Incidentally, insofar as this shift places a strategic premium on states with existing space infrastructure, Texas holds advantageous assets. NASA’s Johnson Space Center in Houston is the nerve center of American human spaceflight, and SpaceX’s Starbase in South Texas is the most active commercial launch site in the country. Additionally, the Texas Space Commission, established by the Legislature with $150 million in funding, has been instrumental in organizing a growing network of commercial and academic partners.

V. Policy Recommendations

Technology should serve humanity first, and in quantum technology, it is the humans rather than the hardware that matter most. Quantum computing requires sustained basic research, specialized talent, and patient capital in a field where no singular path to success has yet emerged and where hardware may depreciate before it delivers value. Quantum sensing, already deployable, needs targeted investment to connect its proven capabilities to Texas’s industry. Quantum networking needs new ideas and courageous experiments. Each vertical requires different approaches, and the approach recommended in this paper is deliberately conservative in spending yet ambitious in outcomes.

Texas has all the ingredients to become a national—indeed, global—leader in quantum technology. Texas has a wellspring of talent from its academic institutions, and by investing to grow this network, providing an environment to rapidly iterate on ideas, and promoting cross-industry cooperation, Texas can capitalize on its strengths: leading quantum research programs, an already established and expanding quantum industry presence, and state security infrastructure, including the Texas Cyber Command.

The Why: Texas Should Lead on Quantum Technology

Texas has more at stake in the quantum race than any other state. As home to military infrastructure already being targeted by “harvest now, decrypt later” operations, adversaries are actively collecting encrypted Texas data and storing it for future decryption. The window for securing that data is closing.

This threat extends to civilian infrastructure in ways unique to Texas. ERCOT, the electric grid serving 27 million Texans, is notable in its independence; it operates as a largely isolated system with fewer interstate interconnections than almost any other regional grid in the country. This independence, while a strength of the Texas model, is also a vulnerability in the quantum security context. Any compromise of control system encryption could propagate through the entire Texas grid and lead to devastating, even lethal, consequences (Electric Reliability Council of Texas, 2026).

Since ERCOT also interfaces with federally regulated systems under the Department of Energy, NERC, and FERC, the compliance deadlines for CISA due in 2030/2035 apply directly. Aligning with the federal push for PQC standards will ensure that the Texas grid improves in security and stability. This has already been a critical need, but it has become even more critical in the current geopolitical environment.

Beyond the risks, however, opportunities are equally compelling, and here Texas may be in the right time and right place. Quantum sensing is the most mature of the three quantum verticals. It is already commercially deployed and requires no dramatic breakthroughs to deliver value and directly boosts Texas’s oil and gas industry. The scale of what is at stake is staggering.

Oil and natural gas extraction, along with broader energy-sector support, accounted for approximately 15% of the Texas economy and $366 billion in direct economic activity in 2024 alone. Quantum gravimeters, which allow geologists to see beneath the surface without drilling, can be invaluable for locating reservoirs, mapping formations, and monitoring pipeline integrity. In an industry operating at this scale, even modest improvements in exploration precision translate into additional billions of dollars in recovered value. The state that builds this expertise will equip its energy industry with a massive advantage and protect the economic engine that funds the Texas Miracle (Texas Oil & Gas Association, 2024).

Furthermore, the strategic value of Texas’s domestic energy production has never been clearer. The February 2026 disruption to oil flows through the Strait of Hormuz drove U.S. gasoline prices above $4 per gallon (35% increase in a single month) and triggered the largest coordinated emergency oil reserve release in history. This demonstrates that domestic production efficiency is not merely an economic advantage but a national security imperative.

Texas is the nation’s largest domestic oil producer, responsible for almost half of total United States crude production, and is essential to protecting national independence from the vagaries of foreign supply chains. Improving Texas’s oil production, then, goes beyond sound economics. It is sound national security policy.

The case for quantum computing, though different in character and less urgent in its immediate application, is arguably larger in its long-term implications. Texas’s fundamentals are strong. As previously introduced, Scott Aaronson assesses Texas’s theoretical quantum program and the talent in the state’s universities as competitive with, if not even not stronger than Colorado’s program, which is widely regarded as being one of the best national models. This is reflected in the research record, where in March of 2025, a team (including Aaronson) published in Nature the first experimental demonstration of certified randomness, which is a protocol invented at UT-Austin, with direct applications in cryptography and quantum security. Additionally, the Texas Quantum Institute already has partners with industry on quantum manufacturing.

With these advantages, Texas is well-positioned to capture the burgeoning investment, both commercial and federal, that quantum computing is attracting. With HB 4751, Texas now has the start of a framework, but the funding and specificity are not yet there. This is ripe for opportunity in the 90^th Legislature.

The How: A Strategy to Activate Texas’s Quantum Advantage

The following recommendations are ordered deliberately. Security actions are urgent and low-cost. They can be initiated immediately without new appropriations. Workforce and hub investments require legislative action but will deliver compounding returns over decades. Together they constitute a fiscally conservative, strategically ambitious quantum strategy suited to Texas’s existing strengths and to the urgency of the moment.

The Colorado Model: Building a Texas Quantum Hub

Colorado’s quantum ecosystem did not emerge from a single large appropriation. It was built through a sequential strategy: anchor a federal research presence, concentrate academic talent around it, create shared infrastructure, and use modest state investment to leverage far larger federal and private capital. The result was Elevate Quantum: a non-profit consortium of 120 organizations that secured a $127 million federal Tech Hub implementation grant projected to drive over $2 billion in private capital investment. Colorado committed $44 million in state tax credits to unlock that federal award. The return on state dollars was approximately 45-to-1.

Texas has stronger starting assets than Colorado did when it began that sequence. The University of Texas at Austin’s Quantum Information Center already produces world-class theoretical and experimental research. Texas’s industry presence includes IBM Research Austin. It is one of 12 IBM global research laboratories worldwide, it has maintained a presence in Texas for more than 55 years, and it continues to expand locally. There is also precedent for academic support, with a $4.8 million grant from the Texas Semiconductor Innovation Fund to establish QLab, which is a quantum-enhanced semiconductor metrology facility at the Texas Quantum Institute.

The Economic Development Administration (EDA) Tech Hubs program, reoriented under the Trump Administration around national security and taxpayer value, represents the most significant federal funding opportunity available to Texas. As such, the program’s priorities map directly onto Texas’s quantum assets and the security argument made in this paper. The Texas Quantum Initiative Council, established by HB 4751, is a statutory vehicle for exactly the type of consortium-building and state coordination that Elevate Quantum represented. As such, the Legislature should direct and fund the Council to convene a consortium (a cooperation among Texas universities, security stakeholders, and industry partners) to pursue a Tech Hub designation so that Texas will be positioned to compete and win for the next cycle.

The state investment required to be competitive is modest. Texas’s existing Governor’s University Research Initiative (GURI) and the Texas University Fund (TUF) mechanisms will allow Texas to expand its academic talent and coordinate toward a strategy to build a tech hub. GURI provides matching funds to recruit distinguished researchers to Texas universities, and the Texas University Fund allocates investment returns to support their research activities. If Texas can rival the 45-to-1 return that Colorado managed, the fiscal case would be clear. However, the strategic case is even stronger: early investment in talent compounds as researchers attract federal grants, industry partnerships, and future researchers in turn. Becoming a quantum hub will provide talent concentration, federal funding gravity, and institutional knowledge that can be difficult to predict, especially since quantum technology is more specialized than AI or energy, but it has enough applications that touch on Texas’s strategic assets to have broad downstream benefits.

Workforce First, Hardware Second

Every expert consulted for this paper, without exception, identified talent as the single highest-priority investment Texas can make in quantum technology. The reasoning is straightforward: quantum hardware changes rapidly and may depreciate before it delivers commercial value, but the scientists who develop algorithms, train the next generation of researchers, attract federal grants, and draw industry partners represent a durable asset. A quantum computer purchased today may be obsolete in a year. A quantum physicist, on the other hand, recruited today may anchor a program for thirty years.

The cost structure of quantum talent is asymmetric in ways that should directly shape Texas’s strategy. Theoretical quantum researchers represent relatively modest recruiting costs by research university standards. Experimental physicists, by contrast, require purpose-built laboratory infrastructure. Nick Hunter-Jones of the University of Texas at Austin estimates that recruiting a single experimental quantum researcher, including the necessary lab hardware, requires approximately $6 million to $8 million. Critically, that hardware is not fungible; it is configured for a specific researcher’s program and cannot be repurposed for the next hire. This argues for concentration over distribution. A strategy of spreading small grants across many Texas institutions risks producing several programs too thin to attract or retain world-class talent. Thus, the stronger model is to build one serious hub, as employed by Colorado, Illinois, and the East Coast programs competing for the same researchers.

Texas has structural advantages for talent acquisition. Texas cities have dense private sector ecosystems, solving what academics informally call the “two-body problem”: the challenge of relocating academic couples when both partners have demanding careers. A quantum physicist whose partner works in technology, finance, or law will find Austin’s job market accommodating in ways that university towns in Illinois or New York cannot match.

Researchers consulted for this paper also noted a movement of quantum scientists back from industry into academia in search of greater research freedom. This is a trend that makes university-anchored programs more competitive for top talent than they have been in years.

Finally, Texas’s distinct cultural character, rooted in faith, family, and a genuine sense of community, offers something that coastal tech hubs cannot: a place where world-class researchers can both build a career and raise a family. Texas’s conservative values can stand as a beacon for what a pro-human, pro-societal vision of technology can be, and for many researchers, this is a compelling draw.

Funding Mechanisms and Federal Leverage

State dollars invested in quantum are not the destination but the instrument; they are the keys to unlocking federal and private capital. The following mechanisms, all currently in statute, provide the vehicles for a coordinated quantum investment strategy.

The Governor’s University Research Initiative can recruit three to five senior quantum faculty at a total biennial cost of $5 million to $10 million. The Texas University Fund can designate quantum research as a priority area, directing an additional $5 million to $10 million toward research infrastructure. Special item appropriations can fund graduate fellowships and postdoctoral positions at $2 million to $5 million per biennium. A QUBIT Fund seed appropriation of $500,000 to $1 million would activate the Texas Quantum Initiative Council’s advisory committee and fund an initial QKD pilot at Texas Cyber Command. In total, a coordinated deployment of these existing mechanisms costs $15 million to $25 million.

Federal leverage multiplies these investments substantially. The National Quantum Initiative Reauthorization Act of 2026 would expand NSF quantum research centers from five to ten. Texas institutions are positioned to compete for two of those new slots, but only if the state has made the faculty and infrastructure investments that federal evaluators require. The Department of Energy renewed $625 million in funding for quantum research centers in late 2025 (U.S. Department of Energy, 2025). NSF’s National Quantum and Nanotechnology Research Infrastructure program represents an additional $100 million in available funding.

Concerningly, Texas missed the most recent Letters of Intent deadline for that program because no standing coordinator was monitoring the opportunity. This should not happen again. The Legislature should direct the Texas Quantum Initiative Council to establish a dedicated federal funding coordination function, thereby enabling the state to monitor upcoming opportunities, prepare consortium applications, and ensure that Texas institutions are positioned to compete in every relevant cycle.

Industry partnerships can multiply state dollars further. IBM Research Austin’s existing partnership with the University of Texas at Austin’s quantum program represents exactly the public-private model that federal Tech Hub evaluators reward, and IonQ has expressed interest in further partnership. These relationships already exist and, with the right facilitation, can blossom into formal and deep economic expansion opportunities.

Security: Immediate Actions

The security recommendations that follow are ordered by cost and urgency. The first requires no new appropriations and should be initiated immediately. The second and third require modest investment but can deliver disproportionate value.

First, the Legislature should direct the Texas Department of Information Resources to publish post-quantum cryptographic readiness guidance and require a cryptographic inventory of state systems. This action costs almost nothing and will address a mandatory compliance gap independent of any other action involving quantum technology.

Second, the Legislature should establish post-quantum cryptographic migration pilot programs at Texas Cyber Command and the Texas Tech Reese National Security Complex in Lubbock before mandating broader statewide deployment. Texas has already invested $149 million in the Reese National Security Complex, and as a sunk cost, a facility explicitly designed to test how physical infrastructure responds to digital and electromagnetic threats, it has a logical extension for PQC migration pilots. Adding PQC testing to its scope is a low-cost, high-impact extension of an existing state asset. Piloting at Texas Cyber Command and Texas Tech before mandating migration statewide ensures that Texas develops its own validated playbook first.

Third, the Legislature should fund a limited quantum key distribution experiment at Texas Cyber Command. A notable researcher consulted for this paper characterized QKD as “a solution in search of a problem.” This skepticism is well-founded for broad deployment. However, the appropriate response to a technology with genuine security properties and unresolved practical limitations is neither procurement nor dismissal. A limited pilot allows Texas to form its own empirical judgment about QKD’s applicability to state government communications.

Conclusion

Quantum technology spans a significant expanse of applications, some of which are years from commercial viability and others of which are already being deployed today.

Quantum computing, while arguably having both the most potential and the most public attention, remains nascent. Its most disruptive near-term application is the threat it poses to encrypted communications. Quantum sensing, or the ability to use quantum systems to locate or characterize physical phenomena, can be of immediate utility to the petrochemical industries of Texas. Quantum networking remains early-stage (although geopolitical competitors have invested heavily in it), and it may someday offer a uniquely eavesdropping-immune communications system.

The opportunities and implications are world-changing. The ability for quantum systems to simulate from first principles and understand reality as it is at the quantum scale offers the ability to model materials in an unrivaled way, thus proposing benefits for medical and solar applications.

Therein lies the paper’s recommendation to focus on the people: to extend grants to the present workforce, to recruit and retain top quantum researchers through targeted faculty hires, and to coordinate and leverage them to build out Texas’s quantum tech concentration. Silicon Valley did not become the global leader in artificial intelligence by having the most data centers. Rather, it became a leader by consistently having the smartest people in proximity to one another. Texas already has that advantage, and its culture is well poised to draw more.

A future built around a unifying entity that brings together academia and industry and establishes connective tissue with security partners and state entities is one in which Texas has an actionable strategy for success. It is a method by which Texas can rapidly discover its strengths and weaknesses and become the gold standard for state quantum development. In doing so, Texas will benefit not only from future discoveries but also from more widely deploying the practical knowledge it already possesses.

It also behooves Texas to understand the peril of the present moment, as the most common forms of encryption are rapidly becoming imperiled. Having a strategy to adapt and migrate to post-quantum cryptographic standards is well-advised before the chaos of migration under pressure, or worse, a genuine security disaster. Industry stands ready to assist, and Texas can experiment and discover problems before they become critical.

Although the priority should be focused on proven, low-cost interventions such as cryptographic combiner techniques, there exists the very real opportunity to execute quantum networking experiments and, as noted, acquire invaluable scientific knowledge.

Ultimately, given the vast spending by other states and by American geopolitical competitors, the signal is clear: this is a field of escalating importance in the mid-term and of immense importance in the long-term. Disengagement is unwise and would cede leadership in a transformative field. However, undisciplined spending would be equally unwise and risk misallocating resources in a way that would neglect opportunities for compounding benefit. This paper points to a clearer path: an evidence-based, targeted investment in talent and standards to secure Texas’s leadership in the quantum era.

The same value-based approach that built the Texas Miracle will also build Texas’s future in the quantum frontier.

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Special Thanks

Dr. Scott Aaronson, Schlumberger Centennial Chair in Computer Science, UT Austin

Dr. Nick Hunter-Jones, Assistant Professor of Physics and Computer Science, UT Austin

Dr. Brent Waters, Professor of Computer Science, UT Austin

Norman Garza, Texas Space Commission

David Wiese and team, IonQ

Kortny Rolston-Duce, Quantinuum

James Goeders and Kate Weber, Google Quantum AI

Katie Pizzolato and Jamie Garcia, IBM Quantum

Andrew Potter, Quantinuum