Process tomography for systems in a thermal state

Ran Ber; Shmuel Marcovitch; Oded Kenneth; Benni Reznik

doi:https://doi.org/10.1088/1367-2630/15/1/013050

Process tomography for systems in a thermal state

Ran Ber, Shmuel Marcovitch, Oded Kenneth, Benni Reznik

School of Physics and Astronomy

Tel Aviv University

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a new method for implementing process tomography which is based on the information extracted from temporal correlations between observables, rather than on state preparation and state tomography. As such, the approach is applicable to systems that are in mixed states, and in particular thermal states. We illustrate the method for an arbitrary evolution described by Kraus operators, as well as for simpler cases such as a general Gaussian channels, and qubit dynamics.

Original language	English
Article number	013050
Journal	New Journal of Physics
Volume	15
DOIs	https://doi.org/10.1088/1367-2630/15/1/013050
State	Published - Jan 2013

All Science Journal Classification (ASJC) codes

General Physics and Astronomy

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https://doi.org/10.1088/1367-2630/15/1/013050

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title = "Process tomography for systems in a thermal state",

abstract = "We propose a new method for implementing process tomography which is based on the information extracted from temporal correlations between observables, rather than on state preparation and state tomography. As such, the approach is applicable to systems that are in mixed states, and in particular thermal states. We illustrate the method for an arbitrary evolution described by Kraus operators, as well as for simpler cases such as a general Gaussian channels, and qubit dynamics.",

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AU - Marcovitch, Shmuel

AU - Kenneth, Oded

AU - Reznik, Benni

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N2 - We propose a new method for implementing process tomography which is based on the information extracted from temporal correlations between observables, rather than on state preparation and state tomography. As such, the approach is applicable to systems that are in mixed states, and in particular thermal states. We illustrate the method for an arbitrary evolution described by Kraus operators, as well as for simpler cases such as a general Gaussian channels, and qubit dynamics.

AB - We propose a new method for implementing process tomography which is based on the information extracted from temporal correlations between observables, rather than on state preparation and state tomography. As such, the approach is applicable to systems that are in mixed states, and in particular thermal states. We illustrate the method for an arbitrary evolution described by Kraus operators, as well as for simpler cases such as a general Gaussian channels, and qubit dynamics.

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DO - https://doi.org/10.1088/1367-2630/15/1/013050

M3 - مقالة

SN - 1367-2630

VL - 15

JO - New Journal of Physics

JF - New Journal of Physics

M1 - 013050

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Process tomography for systems in a thermal state

Abstract

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