Numerical method for finding decoherence-free subspaces and its applications

In this work, inspired by the study of semidefinite programming for block-diagonalizing matrix *-algebras, we propose an algorithm that can find the algebraic structure of decoherence-free subspaces (DFS's) for a given noisy quantum channel. We prove that this algorithm will work for all cases...

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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:en_US
Published: American Physical Society 2013
Online Access:http://hdl.handle.net/1721.1/78269
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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 In this work, inspired by the study of semidefinite programming for block-diagonalizing matrix *-algebras, we propose an algorithm that can find the algebraic structure of decoherence-free subspaces (DFS's) for a given noisy quantum channel. We prove that this algorithm will work for all cases with probability 1, and it is more efficient than the algorithm proposed by J. A. Holbrook, D. W. Kribs and R. Laflamme Quantum. Inf. Proc. 80 381 (2003)]. In fact, our results reveal that this previous algorithm only works for special cases. As an application, we discuss how this method can be applied to increase the efficiency of an optimization procedure for finding an approximate DFS.
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spelling mit-1721.1/782692022-09-29T11:55:27Z Numerical method for finding decoherence-free subspaces and its applications Wang, Xiaoting Byrd, Mark Jacobs, Kurt Massachusetts Institute of Technology. Research Laboratory of Electronics Wang, Xiaoting In this work, inspired by the study of semidefinite programming for block-diagonalizing matrix *-algebras, we propose an algorithm that can find the algebraic structure of decoherence-free subspaces (DFS's) for a given noisy quantum channel. We prove that this algorithm will work for all cases with probability 1, and it is more efficient than the algorithm proposed by J. A. Holbrook, D. W. Kribs and R. Laflamme Quantum. Inf. Proc. 80 381 (2003)]. In fact, our results reveal that this previous algorithm only works for special cases. As an application, we discuss how this method can be applied to increase the efficiency of an optimization procedure for finding an approximate DFS. National Science Foundation (U.S.) (Project PHY-0902906) United States. Army Research Office. Multidisciplinary University Research Initiative (Grant W911NF-11-1-0268) 2013-04-03T16:22:07Z 2013-04-03T16:22:07Z 2013-01 2012-12 Article http://purl.org/eprint/type/JournalArticle 1050-2947 1094-1622 http://hdl.handle.net/1721.1/78269 Wang, Xiaoting, Mark Byrd, and Kurt Jacobs. “Numerical Method for Finding Decoherence-free Subspaces and Its Applications.” Physical Review A 87.1 (2013). ©2013 American Physical Society en_US http://dx.doi.org/10.1103/PhysRevA.87.012338 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 APS
spellingShingle Wang, Xiaoting
Byrd, Mark
Jacobs, Kurt
Numerical method for finding decoherence-free subspaces and its applications
title Numerical method for finding decoherence-free subspaces and its applications
title_full Numerical method for finding decoherence-free subspaces and its applications
title_fullStr Numerical method for finding decoherence-free subspaces and its applications
title_full_unstemmed Numerical method for finding decoherence-free subspaces and its applications
title_short Numerical method for finding decoherence-free subspaces and its applications
title_sort numerical method for finding decoherence free subspaces and its applications
url http://hdl.handle.net/1721.1/78269
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