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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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 |
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Science::Physics Covariance Matrix Passive Operations Assad, Syed Muhamad Gu, Mile Li, Xiaoying Lam, Ping Koy Decoupling cross-quadrature correlations using passive operations |
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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. |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Assad, Syed Muhamad Gu, Mile Li, Xiaoying Lam, Ping Koy |
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Article |
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Assad, Syed Muhamad Gu, Mile Li, Xiaoying Lam, Ping Koy |
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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 |
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Decoupling cross-quadrature correlations using passive operations |
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Decoupling cross-quadrature correlations using passive operations |
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decoupling cross-quadrature correlations using passive operations |
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2020 |
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https://hdl.handle.net/10356/145491 |
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1759853519191408640 |