论文标题
雪人计算前沿:量子计算的局部小组报告
Snowmass Computational Frontier: Topical Group Report on Quantum Computing
论文作者
论文摘要
量子计算将在21 $^{st} $ Century的早期高能物理学(HEP)科学计划中发挥关键作用,这都是我们在计算前沿的能力的主要扩展,以及与量子传感和量子网络合成的。该报告概述了量子信息科学(QIS)和HEP如何深深的交织在一起,这些努力从强大的参与度中受益匪浅。量子计算机并不代表HEP的弯路,而是将成为我们发现工具包的组成部分。从模拟量子场理论到充分利用最敏感的传感器套件进行新粒子搜索的问题,即使数据分析也会陷入限制瓶颈,如果限制了我们当前的计算范式。需要轻松访问量子计算机来更深入地了解这些机会。反过来,HEP在量子领域知识,超导技术,低温和快速微电子方面以及大规模的项目管理方面为国家量子生态系统带来了重要的专业知识。量子技术在整个经济体中的作用预计将在未来十年内迅速增长,因此确定HEP在围绕QIS的努力中的作用很重要。在HEP科学计划中充分实现量子技术的承诺需要强大的支持。重要的是要投资更广泛的量子计算生态系统提供的共同设计机会,并利用HEP优势,以设计针对HEP Science量身定制的量子计算机。
Quantum computing will play a pivotal role in the High Energy Physics (HEP) science program over the early parts of the 21$^{st}$ Century, both as a major expansion of our capabilities across the Computational Frontier, and in synthesis with quantum sensing and quantum networks. This report outlines how Quantum Information Science (QIS) and HEP are deeply intertwined endeavors that benefit enormously from a strong engagement together. Quantum computers do not represent a detour for HEP, rather they are set to become an integral part of our discovery toolkit. Problems ranging from simulating quantum field theories, to fully leveraging the most sensitive sensor suites for new particle searches, and even data analysis will run into limiting bottlenecks if constrained to our current computing paradigms. Easy access to quantum computers is needed to build a deeper understanding of these opportunities. In turn, HEP brings crucial expertise to the national quantum ecosystem in quantum domain knowledge, superconducting technology, cryogenic and fast microelectronics, and massive-scale project management. The role of quantum technologies across the entire economy is expected to grow rapidly over the next decade, so it is important to establish the role of HEP in the efforts surrounding QIS. Fully delivering on the promise of quantum technologies in the HEP science program requires robust support. It is important to both invest in the co-design opportunities afforded by the broader quantum computing ecosystem and leverage HEP strengths with the goal of designing quantum computers tailored to HEP science.