量子计算用于高能物理：现状与挑战——QC4HEP工作组综述
量子物理
2024-10-02 v1 高能物理 - 实验
高能物理 - 格点
高能物理 - 理论
摘要
量子计算机为自然科学及其他领域计算范式变革提供了一条引人入胜的路径，有望实现所谓的量子优势，即数值模拟的显著（某些情况下为指数级）加速。基于多种量子比特实现的硬件设备快速发展，使得能够在量子计算机上执行小规模但具代表性的应用。特别是，高能物理界在获取量子计算能力方面发挥着关键作用，因为该领域是挑战性计算问题的重要来源。在理论方面，这涉及探索用经典技术极难甚至无法处理的模型；在实验方面，涉及新兴实验（如大型强子对撞机升级）带来的海量数据挑战。在这份由CERN、DESY和IBM牵头的发展路线论文中，我们给出了高能物理量子计算的现状，并提供了可在近期解决的理论与实验目标基准应用示例。在考虑IBM 100 x 100挑战的前提下，我们尽可能使用误差缓量子计算对所给示例给出资源估计。
引用
@article{arxiv.2307.03236,
title = {Quantum Computing for High-Energy Physics: State of the Art and Challenges. Summary of the QC4HEP Working Group},
author = {Alberto Di Meglio and Karl Jansen and Ivano Tavernelli and Constantia Alexandrou and Srinivasan Arunachalam and Christian W. Bauer and Kerstin Borras and Stefano Carrazza and Arianna Crippa and Vincent Croft and Roland de Putter and Andrea Delgado and Vedran Dunjko and Daniel J. Egger and Elias Fernandez-Combarro and Elina Fuchs and Lena Funcke and Daniel Gonzalez-Cuadra and Michele Grossi and Jad C. Halimeh and Zoe Holmes and Stefan Kuhn and Denis Lacroix and Randy Lewis and Donatella Lucchesi and Miriam Lucio Martinez and Federico Meloni and Antonio Mezzacapo and Simone Montangero and Lento Nagano and Voica Radescu and Enrique Rico Ortega and Alessandro Roggero and Julian Schuhmacher and Joao Seixas and Pietro Silvi and Panagiotis Spentzouris and Francesco Tacchino and Kristan Temme and Koji Terashi and Jordi Tura and Cenk Tuysuz and Sofia Vallecorsa and Uwe-Jens Wiese and Shinjae Yoo and Jinglei Zhang},
journal= {arXiv preprint arXiv:2307.03236},
year = {2024}
}