Compressing measurements in quantum dynamic parameter estimation

We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with quantum control methods to significantly reduce the number of signal coefficients...

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Main Authors: Magesan, Easwar, Cappellaro, Paola, Cooper-Roy, Alexandre
Other Authors: Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Format: Article
Language:en_US
Published: American Physical Society 2014
Online Access:http://hdl.handle.net/1721.1/85086
https://orcid.org/0000-0003-3207-594X
https://orcid.org/0000-0002-8759-9647
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author Magesan, Easwar
Cappellaro, Paola
Cooper-Roy, Alexandre
author2 Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
author_facet Massachusetts Institute of Technology. Department of Nuclear Science and Engineering
Magesan, Easwar
Cappellaro, Paola
Cooper-Roy, Alexandre
author_sort Magesan, Easwar
collection MIT
description We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with quantum control methods to significantly reduce the number of signal coefficients that are required for reconstruction of time-varying parameters with high fidelity. We show that incoherent measurement bases and, more generally, suitable random measurement matrices can be created by performing simple control sequences on the quantum system. Random measurement matrices satisfying the restricted isometry property can be used efficiently to reconstruct signals that are sparse in any basis. Because many physical processes are approximately sparse in some basis, these methods can benefit a variety of applications such as quantum sensing and magnetometry with nitrogen-vacancy centers.
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spelling mit-1721.1/850862022-10-01T05:38:14Z Compressing measurements in quantum dynamic parameter estimation Magesan, Easwar Cappellaro, Paola Cooper-Roy, Alexandre Massachusetts Institute of Technology. Department of Nuclear Science and Engineering Massachusetts Institute of Technology. Research Laboratory of Electronics Magesan, Easwar Cooper-Roy, Alexandre Cappellaro, Paola We present methods that can provide an exponential savings in the resources required to perform dynamic parameter estimation using quantum systems. The key idea is to merge classical compressive sensing techniques with quantum control methods to significantly reduce the number of signal coefficients that are required for reconstruction of time-varying parameters with high fidelity. We show that incoherent measurement bases and, more generally, suitable random measurement matrices can be created by performing simple control sequences on the quantum system. Random measurement matrices satisfying the restricted isometry property can be used efficiently to reconstruct signals that are sparse in any basis. Because many physical processes are approximately sparse in some basis, these methods can benefit a variety of applications such as quantum sensing and magnetometry with nitrogen-vacancy centers. National Science Foundation (U.S.) (Grant NSF PHY-1125846) 2014-02-24T19:31:27Z 2014-02-24T19:31:27Z 2013-12 2013-08 Article http://purl.org/eprint/type/JournalArticle 1050-2947 1094-1622 http://hdl.handle.net/1721.1/85086 Magesan, Easwar, Alexandre Cooper, and Paola Cappellaro. “Compressing Measurements in Quantum Dynamic Parameter Estimation.” Phys. Rev. A 88, no. 6 (December 2013). © 2013 American Physical Society https://orcid.org/0000-0003-3207-594X https://orcid.org/0000-0002-8759-9647 en_US http://dx.doi.org/10.1103/PhysRevA.88.062109 Physical Review A Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society American Physical Society
spellingShingle Magesan, Easwar
Cappellaro, Paola
Cooper-Roy, Alexandre
Compressing measurements in quantum dynamic parameter estimation
title Compressing measurements in quantum dynamic parameter estimation
title_full Compressing measurements in quantum dynamic parameter estimation
title_fullStr Compressing measurements in quantum dynamic parameter estimation
title_full_unstemmed Compressing measurements in quantum dynamic parameter estimation
title_short Compressing measurements in quantum dynamic parameter estimation
title_sort compressing measurements in quantum dynamic parameter estimation
url http://hdl.handle.net/1721.1/85086
https://orcid.org/0000-0003-3207-594X
https://orcid.org/0000-0002-8759-9647
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