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Some of the most significant achievements of the modern era of particle physics, such as the discovery of the Higgs, have been made possible by the tremendous effort in building and operating large-scale experiments like the LHC. The theory to describe matter at the most fundamental level in these facilities is constantly probed and verified. These experiments produce large amounts of data that require storing, processing, and analysis techniques that continually push the limits of traditional information processing schemes. Recently, quantum computing applications have been investigated to understand how the community can benefit from quantum information science.

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This page is a summary of: Quantum Machine Learning Applications in High-Energy Physics, October 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3508352.3561114.
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