Log in to save to my catalogue

Improving the dynamics of quantum sensors with reinforcement learning

Improving the dynamics of quantum sensors with reinforcement learning

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2404374780

Improving the dynamics of quantum sensors with reinforcement learning

About this item

Full title

Improving the dynamics of quantum sensors with reinforcement learning

Publisher

Bristol: IOP Publishing

Journal title

New journal of physics, 2020-03, Vol.22 (3), p.35001

Language

English

Formats

Publication information

Publisher

Bristol: IOP Publishing

More information

Scope and Contents

Contents

Recently proposed quantum-chaotic sensors achieve quantum enhancements in measurement precision by applying nonlinear control pulses to the dynamics of the quantum sensor while using classical initial states that are easy to prepare. Here, we use the cross-entropy method of reinforcement learning (RL) to optimize the strength and position of contro...

Alternative Titles

Full title

Improving the dynamics of quantum sensors with reinforcement learning

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2404374780

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2404374780

Other Identifiers

ISSN

1367-2630

E-ISSN

1367-2630

DOI

10.1088/1367-2630/ab6f1f

How to access this item