Minimal noise subsystems

A system subjected to noise contains a decoherence-free subspace or subsystem (DFS) only if the noise possesses an exact symmetry. Here we consider noise models in which a perturbation breaks a symmetry of the noise, so that if S is a DFS under a given noise process it is no longer so under the new...

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Main Authors: Wang, Xiaoting, Byrd, Mark, Jacobs, Kurt
Other Authors: Massachusetts Institute of Technology. Research Laboratory of Electronics
Format: Article
Language:English
Published: American Physical Society 2016
Online Access:http://hdl.handle.net/1721.1/101603
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author Wang, Xiaoting
Byrd, Mark
Jacobs, Kurt
author2 Massachusetts Institute of Technology. Research Laboratory of Electronics
author_facet Massachusetts Institute of Technology. Research Laboratory of Electronics
Wang, Xiaoting
Byrd, Mark
Jacobs, Kurt
author_sort Wang, Xiaoting
collection MIT
description A system subjected to noise contains a decoherence-free subspace or subsystem (DFS) only if the noise possesses an exact symmetry. Here we consider noise models in which a perturbation breaks a symmetry of the noise, so that if S is a DFS under a given noise process it is no longer so under the new perturbed noise process. We ask whether there is a subspace or subsystem that is more robust to the perturbed noise than S. To answer this question we develop a numerical method that allows us to search for subspaces or subsystems that are maximally robust to arbitrary noise processes. We apply this method to a number of examples, and find that a subsystem that is a DFS is often not the subsystem that experiences minimal noise when the symmetry of the noise is broken by a perturbation. We discuss which classes of noise have this property.
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spelling mit-1721.1/1016032022-10-01T19:24:50Z Minimal noise subsystems Wang, Xiaoting Byrd, Mark Jacobs, Kurt Massachusetts Institute of Technology. Research Laboratory of Electronics Wang, Xiaoting A system subjected to noise contains a decoherence-free subspace or subsystem (DFS) only if the noise possesses an exact symmetry. Here we consider noise models in which a perturbation breaks a symmetry of the noise, so that if S is a DFS under a given noise process it is no longer so under the new perturbed noise process. We ask whether there is a subspace or subsystem that is more robust to the perturbed noise than S. To answer this question we develop a numerical method that allows us to search for subspaces or subsystems that are maximally robust to arbitrary noise processes. We apply this method to a number of examples, and find that a subsystem that is a DFS is often not the subsystem that experiences minimal noise when the symmetry of the noise is broken by a perturbation. We discuss which classes of noise have this property. National Science Foundation (U.S.) (Project PHY-0902906) National Science Foundation (U.S.) (Project CCF-1350397) United States. Intelligence Advanced Research Projects Activity (United States. Dept. of Interior. National Business Center Contract D11PC20168) 2016-03-04T17:11:28Z 2016-03-04T17:11:28Z 2016-03 2015-04 2016-03-03T23:00:03Z Article http://purl.org/eprint/type/JournalArticle 0031-9007 1079-7114 http://hdl.handle.net/1721.1/101603 Wang, Xiaoting, Mark Byrd, and Kurt Jacobs. “Minimal Noise Subsystems.” Physical Review Letters 116, no. 9 (March 3, 2016). © 2016 American Physical Society en http://dx.doi.org/10.1103/PhysRevLett.116.090404 Physical Review Letters 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. American Physical Society application/pdf American Physical Society American Physical Society
spellingShingle Wang, Xiaoting
Byrd, Mark
Jacobs, Kurt
Minimal noise subsystems
title Minimal noise subsystems
title_full Minimal noise subsystems
title_fullStr Minimal noise subsystems
title_full_unstemmed Minimal noise subsystems
title_short Minimal noise subsystems
title_sort minimal noise subsystems
url http://hdl.handle.net/1721.1/101603
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