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Quantum Information Science and Technology for Nuclear Physics. Input into U.S. Long-Range Planning, 2023

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arxiv 2303.00113 v1 pith:6JPD3BJL submitted 2023-02-28 nucl-ex nucl-thquant-ph

Douglas Beck , Joseph Carlson , Zohreh Davoudi , Joseph Formaggio , Sofia Quaglioni , Martin Savage , Joao Barata , Tanmoy Bhattacharya
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This is my paper · ORCID
classification nucl-exnucl-thquant-ph
keywords nuclearquantumworkshopphysicsplanssciencehallinformation
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In preparation for the 2023 NSAC Long Range Plan (LRP), members of the Nuclear Science community gathered to discuss the current state of, and plans for further leveraging opportunities in, QIST in NP research at the Quantum Information Science for U.S. Nuclear Physics Long Range Planning workshop, held in Santa Fe, New Mexico on January 31 - February 1, 2023. The workshop included 45 in-person participants and 53 remote attendees. The outcome of the workshop identified strategic plans and requirements for the next 5-10 years to advance quantum sensing and quantum simulations within NP, and to develop a diverse quantum-ready workforce. The plans include resolutions endorsed by the participants to address the compelling scientific opportunities at the intersections of NP and QIST. These endorsements are aligned with similar affirmations by the LRP Computational Nuclear Physics and AI/ML Workshop, the Nuclear Structure, Reactions, and Astrophysics LRP Town Hall, and the Fundamental Symmetries, Neutrons, and Neutrinos LRP Town Hall communities.

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Cited by 5 Pith papers

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