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Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research

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arxiv 2203.07091 v1 pith:6AW525E6 submitted 2022-03-14 quant-ph

classification quant-ph
keywords quantumcomputingsoftwareapplicationshigh-energyopportunitiesphysicsresearch
verification ladder T0 review T1 audit T2 compute T3 formal
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Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development of novel computational tools for modeling and simulation, detection and classification, data analysis, and forecasting of high-energy physics (HEP) experiments. While the emerging hardware, software, and applications of quantum computing are exciting opportunities, significant gaps remain in integrating such techniques into the HEP community research programs. Here we identify both the challenges and opportunities for developing quantum computing systems and software to advance HEP discovery science. We describe opportunities for the focused development of algorithms, applications, software, hardware, and infrastructure to support both practical and theoretical applications of quantum computing to HEP problems within the next 10 years.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantum Simulation of Large N Lattice Gauge Theories

    hep-lat 2024-11 conditional novelty 3.0 of 10

    At leading order in 1/N_c, SU(3) lattice Yang-Mills reduces to a PXP spin model with one qubit per plaquette, enabling simpler quantum simulation encodings.

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