Decoupling cross-quadrature correlations using passive operations

Quadrature correlations between subsystems of a Gaussian quantum state are fully characterized by its covariance matrix. For example, the covariance matrix determines the amount of entanglement or decoherence of the state. Here, we establish when it is possible to remove correlations between conjuga...

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Main Authors: Assad, Syed Muhamad, Gu, Mile, Li, Xiaoying, Lam, Ping Koy
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/145491
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1454912023-02-28T19:27:24Z Decoupling cross-quadrature correlations using passive operations Assad, Syed Muhamad Gu, Mile Li, Xiaoying Lam, Ping Koy School of Physical and Mathematical Sciences Nanyang Quantum Hub Complexity Institute Science::Physics Covariance Matrix Passive Operations Quadrature correlations between subsystems of a Gaussian quantum state are fully characterized by its covariance matrix. For example, the covariance matrix determines the amount of entanglement or decoherence of the state. Here, we establish when it is possible to remove correlations between conjugate quadratures using only passive operations. Such correlations are usually undesired and arise due to experimental cross-quadrature contamination. Using the Autonne-Takagi factorization, we present necessary and sufficient conditions to determine when such removal is possible. Our proof is constructive, and whenever it is possible we obtain an explicit expression for the required passive operation. Ministry of Education (MOE) National Research Foundation (NRF) Published version We acknowledge H. Jeng for preparing an earlier version of the paper. We thank B. Shajilal, T. Michel, and S. Tserkis for useful discussions. This work is supported by the Australian Research Council under the Centre of Excellence for Quantum Computation and Communication Technology (Grants No. CE110001027, No. CE170100012, and No. FL150100019), the National Research Foundation (NRF). Singapore, under its NRFF Fellow programme (Award No. NRF-NRFF2016-02), the Singapore Ministry of Education Tier 1 Grant No. MOE2017-T1-002-043, Grant No. FQXi-RFP-1809 from the Foundational Questions Institute and Fetzer Franklin Fund (a donor-advised fund of Silicon Valley Community Foundation). Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore. 2020-12-23T01:44:37Z 2020-12-23T01:44:37Z 2020 Journal Article Assad, S. M., Gu, M., Li, X., & Lam, P. K. (2020). Decoupling cross-quadrature correlations using passive operations. Physical Review A, 102(2), 022615-. doi:10.1103/PhysRevA.102.022615 2469-9926 https://hdl.handle.net/10356/145491 10.1103/PhysRevA.102.022615 2 102 en NRF-NRFF2016-02 MOE2017-T1-002-043 Physical Review A © 2020 American Physical Society. All rights reserved. This paper was published in Physical Review A and is made available with permission of American Physical Society. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Physics
Covariance Matrix
Passive Operations
spellingShingle Science::Physics
Covariance Matrix
Passive Operations
Assad, Syed Muhamad
Gu, Mile
Li, Xiaoying
Lam, Ping Koy
Decoupling cross-quadrature correlations using passive operations
description Quadrature correlations between subsystems of a Gaussian quantum state are fully characterized by its covariance matrix. For example, the covariance matrix determines the amount of entanglement or decoherence of the state. Here, we establish when it is possible to remove correlations between conjugate quadratures using only passive operations. Such correlations are usually undesired and arise due to experimental cross-quadrature contamination. Using the Autonne-Takagi factorization, we present necessary and sufficient conditions to determine when such removal is possible. Our proof is constructive, and whenever it is possible we obtain an explicit expression for the required passive operation.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Assad, Syed Muhamad
Gu, Mile
Li, Xiaoying
Lam, Ping Koy
format Article
author Assad, Syed Muhamad
Gu, Mile
Li, Xiaoying
Lam, Ping Koy
author_sort Assad, Syed Muhamad
title Decoupling cross-quadrature correlations using passive operations
title_short Decoupling cross-quadrature correlations using passive operations
title_full Decoupling cross-quadrature correlations using passive operations
title_fullStr Decoupling cross-quadrature correlations using passive operations
title_full_unstemmed Decoupling cross-quadrature correlations using passive operations
title_sort decoupling cross-quadrature correlations using passive operations
publishDate 2020
url https://hdl.handle.net/10356/145491
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