Model-Free Quantum Control with Reinforcement Learning
Model-Free Quantum Control with Reinforcement Learning
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Publisher
College Park: American Physical Society
Journal title
Language
English
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Publisher
College Park: American Physical Society
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Scope and Contents
Contents
Model bias is an inherent limitation of the current dominant approach to optimal quantum control, which relies on a system simulation for optimization of control policies. To overcome this limitation, we propose a circuit-based approach for training a reinforcement learning agent on quantum control tasks in a model-free way. Given a continuously pa...
Alternative Titles
Full title
Model-Free Quantum Control with Reinforcement Learning
Authors, Artists and Contributors
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TN_cdi_doaj_primary_oai_doaj_org_article_c9d1bc36d61142f9a3679e0793e4ea87
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c9d1bc36d61142f9a3679e0793e4ea87
Other Identifiers
ISSN
2160-3308
E-ISSN
2160-3308
DOI
10.1103/PhysRevX.12.011059
