Dynamical simulation via quantum machine learning with provable generalization
Much attention has been paid to dynamical simulation and quantum machine learning (QML) independently as applications for quantum advantage, while the possibility of using QML to enhance dynamical simulations has not been thoroughly investigated. Here we develop a framework for using QML methods to...
Main Authors: | Joe Gibbs, Zoë Holmes, Matthias C. Caro, Nicholas Ezzell, Hsin-Yuan Huang, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2024-03-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.6.013241 |
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