Somewhere inside the federal government’s sprawling contracting portal, SAM.gov, a new listing appeared this spring that quantum physicists, defense strategists, and tech executives have been parsing ever since. The U.S. Department of Energy filed RFI No. 892431-26-RFI-0001, a formal request for information asking private companies to propose designs for a fault-tolerant quantum computer housing 150 to 250 logical qubits, with delivery expected by 2028. It is the most concrete procurement signal Washington has ever sent on quantum hardware, and it lands at a moment when billions of federal dollars are already flowing toward the same goal.
Why this solicitation is different
Government agencies publish strategy memos and white papers routinely. A SAM.gov posting is something else: it sits in the same acquisition pipeline used to buy particle accelerators, exascale supercomputers, and other large-scale instruments for the national laboratories. By placing the solicitation there, DOE’s Office of Science has signaled that it views a fault-tolerant quantum computer not as a research aspiration but as a piece of scientific infrastructure it intends to procure, install, and operate.
The agency’s own quantum strategy page frames the target in blunt terms: “deliver a new scientific instrument to the Nation by 2028,” one capable of running circuits at millions of gate depths. That phrasing draws a hard line between what exists today and what DOE wants next. Current noisy intermediate-scale quantum (NISQ) machines top out at roughly a thousand physical qubits, each prone to errors that corrupt calculations after only shallow circuit depths. A logical qubit, by contrast, is built from many physical qubits woven together through error-correction codes so the system can catch and fix its own mistakes mid-calculation. The difference is roughly analogous to the gap between a pocket calculator that crashes after ten steps and a supercomputer that can run for days.
To put the 150-to-250 target in perspective: most current error-correction schemes require on the order of 1,000 physical qubits to sustain a single logical qubit. A machine with 200 logical qubits could therefore demand 200,000 or more physical qubits, all operating in concert at temperatures colder than outer space. No company has publicly demonstrated anything close to that scale with full fault tolerance, though several have crossed important thresholds. Google’s Willow processor, unveiled in late 2024, showed that surface-code error rates can decrease as the code grows larger, a result researchers had chased for more than a decade. Microsoft claimed a topological qubit breakthrough in early 2025. Quantinuum, IonQ, and a handful of startups have each posted logical-qubit demonstrations with trapped ions or neutral atoms. None has reached 150 logical qubits.
The money behind the mandate
DOE is not asking industry to build this machine on faith. The agency has already committed $625 million to the next five-year phase of its five National Quantum Information Science Research Centers, each led by a national laboratory. Those centers give hardware companies access to cryogenic infrastructure, calibration expertise, and domain scientists who can define the problems a quantum machine should tackle first, from simulating catalytic reactions for clean-energy chemistry to optimizing the electric grid.
The Commerce Department is running a parallel track. Through CHIPS Act R&D provisions, NIST has announced letters of intent with nine companies for roughly $2 billion in incentives aimed at accelerating utility-scale, fault-tolerant quantum computers. The overlap in language between the Commerce announcement and the DOE solicitation is hard to miss: both agencies specify fault tolerance, both reference utility-scale performance, and both treat 2028 as a near-term horizon. While no single document ties the two efforts into a unified program, the convergence suggests coordinated strategy at the White House or National Science and Technology Council level, elevating quantum computing to the kind of infrastructure priority last seen with exascale supercomputing and advanced semiconductor manufacturing.
What the solicitation does not say
For all its ambition, the RFI leaves large gaps. It does not include technical appendices, performance benchmarks, or error-rate thresholds that would normally accompany a procurement of this scope. Without those details, it is unclear how DOE derived the 150-to-250 range, which physical qubit architectures it considers viable, or what “utility-scale” means in measurable terms. In classical supercomputing, agencies rely on well-understood yardsticks such as floating-point operations per second and standardized workloads like LINPACK. No comparable consensus exists yet for quantum performance, which means vendors could interpret the solicitation in divergent ways.
The relationship between the Commerce Department’s nine company agreements and the DOE timeline is also opaque. None of the nine companies have publicly confirmed alignment with the DOE solicitation’s specific requirements. Whether they will compete for the DOE instrument contract, serve as subcontractors, or operate on an entirely separate track remains an open question as of late June 2026.
Then there is the deadline itself. Scaling from fewer than a dozen demonstrated logical qubits to 150 or more within roughly two years would require simultaneous breakthroughs in qubit fabrication, error-correction overhead, classical control electronics, and software toolchains. The DOE strategy document references millions of gate depths as a target, but the RFI does not specify intermediate milestones or progress checkpoints. Federal agencies have a long history of setting aggressive procurement targets to pull industry forward; some of those targets, including early timelines for exascale computing, slipped by years before hardware caught up. Outside experts will be watching for a follow-on request for proposals with detailed technical requirements, which would indicate whether DOE views the 2028 date as a firm engineering schedule or a stretch goal designed to accelerate the field.
What a 200-logical-qubit machine could actually do
If someone does deliver a fault-tolerant system in this range, the scientific payoff could be enormous. Quantum computers excel at simulating quantum systems, a tautology that carries real weight. Modeling the behavior of a single complex molecule, such as the nitrogen-fixing enzyme nitrogenase, requires tracking quantum interactions among dozens of electrons in ways that overwhelm even the fastest classical supercomputers. A machine with 200 logical qubits running deep circuits could, in principle, simulate such molecules accurately enough to guide the design of new catalysts, batteries, or drugs without years of trial-and-error laboratory work.
Energy-grid optimization, cryptographic research, and machine-learning acceleration are also on the list of anticipated applications, though each comes with caveats about algorithm maturity and real-world problem encoding. The DOE’s emphasis on scientific instrumentation suggests its first priority is chemistry and materials science, fields where the national laboratories already maintain deep expertise and where quantum advantage is widely considered most likely to appear first.
Where the global competition stands
The United States is not acting in a vacuum. China has invested heavily in quantum research through its National Laboratory for Quantum Information Sciences in Hefei and has demonstrated photonic quantum advantage claims with its Jiuzhang processors. The European Union’s Quantum Flagship program has committed over one billion euros across a ten-year horizon. Canada, Australia, and Japan each maintain nationally funded quantum strategies with growing private-sector ecosystems.
What distinguishes the U.S. approach in mid-2026 is the explicit coupling of procurement deadlines with large-scale funding. Most international programs fund research grants and pilot projects; the DOE solicitation is structured more like a defense acquisition, asking industry to deliver a working instrument to a government facility on a fixed schedule. That model carries risks, particularly if the technology is not ready, but it also creates the kind of forcing function that accelerated GPS, the internet, and exascale supercomputing from laboratory concepts to operational systems.
What happens next
The RFI is, by design, a listening exercise. DOE is collecting industry input on technical feasibility, cost structures, and partnership models before deciding whether and how to issue a binding request for proposals. Companies that respond will shape the parameters of any eventual contract, making the next few months a quiet but consequential negotiation between government ambitions and engineering reality.
For researchers, investors, and policymakers watching from the outside, the key documents to track are the follow-on RFP (if issued), any technical appendices that define benchmarks and error thresholds, and public statements from the nine Commerce Department partner companies clarifying their role relative to the DOE effort. Until those appear, the solicitation should be read for what it is: the opening move in a high-stakes, multi-year bet that the United States can build a quantum computer powerful enough to matter, and do it before the decade is out.
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*This article was researched with the help of AI, with human editors creating the final content.
