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DOE Panel Ties Future National Quantum Facility to Proof of Scientific Use

Insider Brief For a committee advising the U.S. government on fault-tolerant quantum computing, the message appears to be money talks, but qubits still have to walk. A proposed national quantum computing user facility would depend on…

Matt Swayne

Publisher The Quantum Insider

Sep 19, 2026 at 1:12 PM UTC · 7 min de lecture

DOE Panel Ties Future National Quantum Facility to Proof of Scientific Use
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Insider Brief

  • A DOE advisory panel proposed a 2026–2028 quantum grand-challenge program to demonstrate independently validated scientific uses of fault-tolerant quantum computing before considering a national user facility.
  • The roadmap identifies near-term applications in chemistry, catalysis, materials, fusion, particle and nuclear physics, and sensing, with progress measured by scientific results rather than qubit counts alone.
  • The proposed facility would combine cloud access with laboratory-based systems connected to supercomputers, AI, experiments and scientific users while preserving competition among multiple quantum hardware approaches.

For a committee advising the U.S. government on fault-tolerant quantum computing, the message appears to be money talks, but qubits still have to walk.

A proposed national quantum computing user facility would depend on quantum systems first demonstrating validated scientific value, technical maturity and demand from researchers, according to a Department of Energy advisory panel’s new roadmap.

The proposal, outlined in a report from the DOE Office of Science’s Scientific Computing Advisory Committee (SCAC) Quantum Subcommittee, calls for a three-phase effort. The first phase would establish Quantum Grand Challenges from 2026 through 2028. A second phase could create a DOE Quantum Computing User Facility if the early demonstrations show sufficient scientific utility, technical maturity and user demand. The third phase would integrate quantum computing with DOE supercomputers, artificial intelligence systems, scientific instruments, networks and experiments.