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U.S. Department Of Energy·Tennessee

Request for Information (RFI) on Scientifically Relevant Fault-Tolerant Quantum Computing Systems

Closes 6/9/2026$10M – $500MRequest for Information
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Description

The Department of Energy is seeking information on scientifically relevant fault-tolerant quantum computing systems. The goal is to integrate fault-tolerant quantum computing into the U.S. and national laboratory scientific computing infrastructure. Respondents should provide information on the viability of achieving technical targets for an FTQC by 2028, an overview of a technical approach, and the specific scientific applications such a system would enable. Some of the key points to be addressed include: • The feasibility of achieving the technical targets for an FTQC by 2028 • A high-level description of the proposed system, including the hardware and software solution • The specific scientific applications the proposed system would enable and how they relate to the DOE mission • Non-recurring engineering considerations and potential areas of NRE investment • The potential impact of NRE funding on the proposed system • A description of how the proposed system concept is expected to advance beyond 2028 to the early-to-mid 2030s timeframe

Attached files

Contact

QC Input

[email protected]

Key dates

Opened
5/12/2026
Closes
6/9/2026

Last updated

Details

Type
Request for Information
Industry
Information Technology and Software Development
NAICS
541512
Solicitation №
892431-26-RFI-0001

Budget estimate

$10,000,000 – $500,000,000

The budget for this opportunity is difficult to estimate, as it is a request for information and not a solicitation for a specific contract. However, based on the scope of the project, which involves the development of a scientifically relevant fault-tolerant quantum computing system, the budget could be substantial. The cost of such a system could range from tens of millions to hundreds of millions of dollars, depending on the complexity of the system and the scope of the project. Factors that may influence the likely payment range include the size and complexity of the system, the level of funding available to the Department of Energy, and the number of respondents to the RFI.

AI estimate from the solicitation

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