Commission on Quantum Primacy details US strategy for quantum

A new report from the Commission on U.S. Quantum Primacy warns that American strengths in quantum research and software will not guarantee leadership in manufacturing and deployment. Co-chairs U.S. Sen. Todd Young, U.S. Sen. Ben Ray Luján, and Ylli Bajraktari are urging sustained investment to translate quantum discovery into a national advantage, particularly as China actively builds infrastructure for quantum networking.

“Leadership in quantum will not be decided by who publishes the most papers or reaches a single milestone first,” says Bajraktari, “It will be decided by who turns quantum discoveries into deployed, manufactured, trusted capabilities.”

Commission Defines U.S. Quantum Primacy as Sustained Capability

The Commission on U.S. This definition, released by the group co-chaired by U.S. Sen. Todd Young, U.S. Sen. Ben Ray Luján, and Ylli Bajraktari, moves beyond simply excelling in research to emphasize practical application and manufacturing prowess. The Commission’s framework prioritizes translating scientific breakthroughs into tangible advantages for national security, technological innovation and economic competitiveness, acknowledging that sustained leadership requires more than just initial innovation.

This focus on a complete capability from start to finish is a deliberate departure from metrics centered solely on research output or isolated achievements. A key concern highlighted in the report is the accelerating progress of China, specifically in quantum networking infrastructure.

While the U.S. This shift, coupled with potential supply chain and manufacturing advantages, could allow China to rapidly scale quantum innovation, potentially surpassing the United States in the critical area of deployment. “America’s quantum science is the envy of the world, but discoveries in the lab only matter if they reach the field, the factory, and the warfighter,” said Young, emphasising the urgency of translating research into real-world applications. The report also cautions that existing strengths in U.S. research, software development, and private investment are not guarantees of future leadership.

This assessment challenges the prevailing narrative that continued investment in these areas alone will secure U.S. quantum primacy. Instead, the report advocates for a coordinated national program, potentially modeled on the Exascale Computing Project, to co-develop both quantum software and hardware. It calls for a NIST-led effort to establish public-private benchmarks and ensure interoperability across different quantum systems. “Quantum has the potential to transform everything from navigation and health care to the security of our digital infrastructure,” added Luján, emphasizing the broad societal impact of prioritizing quantum development and the need for bipartisan support.

Leadership in quantum will not be decided by who publishes the most papers or reaches a single milestone first.

Ylli Bajraktari, president of SCSP
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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