Potential Applications of Quantum Computing at Los Alamos National Laboratory
Andreas B\"artschi, Francesco Caravelli, Carleton Coffrin, Jonhas, Colina, Stephan Eidenbenz, Abhijith Jayakumar, Scott Lawrence, Minseong Lee,, Andrey Y. Lokhov, Avanish Mishra, Sidhant Misra, Zachary Morrell, Zain, Mughal, Duff Neill, Andrei Piryatinski, Allen Scheie

TL;DR
This paper explores potential applications of quantum computing at Los Alamos National Laboratory, detailing specific use cases in quantum physics research and highlighting the transformative potential for scientific discovery.
Contribution
It provides detailed use cases and insights into how quantum computing could enhance research activities at a major national laboratory.
Findings
Quantum simulations could advance understanding of magnetic materials
Quantum computing may improve high-temperature superconductor research
Potential for new discoveries in nuclear astrophysics simulations
Abstract
The emergence of quantum computing technology over the last decade indicates the potential for a transformational impact in the study of quantum mechanical systems. It is natural to presume that such computing technologies would be valuable to large scientific institutions, such as United States national laboratories. However, detailed descriptions of what these institutions would like to use these computers for are limited. To help provide some initial insights into this topic, this report develops detailed use cases of how quantum computing technology could be utilized to enhance a variety of quantum physics research activities at Los Alamos National Laboratory, including quantum magnetic materials, high-temperature superconductivity and nuclear astrophysics simulations. The report discusses how current high-performance computers are used for scientific discovery today and develops…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography
