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arXiv 2203.07091quant-ph
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Snowmass白皮书:用于高能物理研究的量子计算系统和软件

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

Travis S. Humble, Andrea Delgado, Raphael Pooser, Christopher Seck, Ryan Bennink, Vicente Leyton-Ortega, C. -C. Joseph Wang, Eugene Dumitrescu, Titus Morris, Ka… 展开作者

Travis S. Humble, Andrea Delgado, Raphael Pooser, Christopher Seck, Ryan Bennink, Vicente Leyton-Ortega, C. -C. Joseph Wang, Eugene Dumitrescu, Titus Morris, Kathleen Hamilton, Dmitry Lyakh, Prasanna Date, Yan Wang, Nicholas A. Peters, Katherine J. Evans, Marcel Demarteau, Alex McCaskey, Thien Nguyen, Susan Clark, Melissa Reville, Alberto Di Meglio, Michele Grossi, Sofia Vallecorsa, Kerstin Borras, Karl Jansen, Dirk Krücker

摘要:

量子计算为推进高能物理研究提供了一种新的范式,它使基本量子力学现象的表示和推理成为可能。实现这些理想将需要开发新的计算工具,用于建模和模拟、检测和分类、数据分析以及高能物理(HEP)实验的预测。虽然量子计算的新兴硬件、软件和应用是令人兴奋的机会,但在将这些技术整合到HEP社区研究计划方面仍存在重大差距。在这里,我们确定了开发量子计算系统和软件以推进HEP发现科学的挑战和机遇。我们描述了在未来10年内集中开发算法、应用程序、软件、硬件和基础设施的机会,以支持量子计算在HEP问题上的实际和理论应用。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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