Quantum Information Science and Technology for Nuclear Physics. Input into U.S. Long-Range Planning, 2023
Abstract
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.
Cite
@article{arxiv.2303.00113,
title = {Quantum Information Science and Technology for Nuclear Physics. Input into U.S. Long-Range Planning, 2023},
author = {Douglas Beck and Joseph Carlson and Zohreh Davoudi and Joseph Formaggio and Sofia Quaglioni and Martin Savage and Joao Barata and Tanmoy Bhattacharya and Michael Bishof and Ian Cloet and Andrea Delgado and Michael DeMarco and Caleb Fink and Adrien Florio and Marianne Francois and Dorota Grabowska and Shannon Hoogerheide and Mengyao Huang and Kazuki Ikeda and Marc Illa and Kyungseon Joo and Dmitri Kharzeev and Karol Kowalski and Wai Kin Lai and Kyle Leach and Ben Loer and Ian Low and Joshua Martin and David Moore and Thomas Mehen and Niklas Mueller and James Mulligan and Pieter Mumm and Francesco Pederiva and Rob Pisarski and Mateusz Ploskon and Sanjay Reddy and Gautam Rupak and Hersh Singh and Maninder Singh and Ionel Stetcu and Jesse Stryker and Paul Szypryt and Semeon Valgushev and Brent VanDevender and Samuel Watkins and Christopher Wilson and Xiaojun Yao and Andrei Afanasev and Akif Baha Balantekin and Alessandro Baroni and Raymond Bunker and Bipasha Chakraborty and Ivan Chernyshev and Vincenzo Cirigliano and Benjamin Clark and Shashi Kumar Dhiman and Weijie Du and Dipangkar Dutta and Robert Edwards and Abraham Flores and Alfredo Galindo-Uribarri and Ronald Fernando Garcia Ruiz and Vesselin Gueorguiev and Fanqing Guo and Erin Hansen and Hector Hernandez and Koichi Hattori and Philipp Hauke and Morten Hjorth-Jensen and Keith Jankowski and Calvin Johnson and Denis Lacroix and Dean Lee and Huey-Wen Lin and Xiaohui Liu and Felipe J. Llanes-Estrada and John Looney and Misha Lukin and Alexis Mercenne and Jeff Miller and Emil Mottola and Berndt Mueller and Benjamin Nachman and John Negele and John Orrell and Amol Patwardhan and Daniel Phillips and Stephen Poole and Irene Qualters and Mike Rumore and Thomas Schaefer and Jeremy Scott and Rajeev Singh and James Vary and Juan-Jose Galvez-Viruet and Kyle Wendt and Hongxi Xing and Liang Yang and Glenn Young and Fanyi Zhao},
journal= {arXiv preprint arXiv:2303.00113},
year = {2023}
}
Comments
A white paper for the 2023 nuclear physics long-range planning activity, emerging from the workshop "Quantum Information Science for U.S. Nuclear Physics Long Range Planning'', held in Santa Fe, New Mexico on January 31 - February 1, 2023. 26 pages with 7 figures