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Highly accurate Gaussian process tomography with geometrical sets of coherent states

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F21%3A73607276" target="_blank" >RIV/61989592:15310/21:73607276 - isvavai.cz</a>

  • Result on the web

    <a href="https://iopscience.iop.org/article/10.1088/1367-2630/abf702" target="_blank" >https://iopscience.iop.org/article/10.1088/1367-2630/abf702</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1367-2630/abf702" target="_blank" >10.1088/1367-2630/abf702</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Highly accurate Gaussian process tomography with geometrical sets of coherent states

  • Original language description

    We propose a practical strategy for choosing sets of input coherent states that are near-optimal for reconstructing single-mode Gaussian quantum processes with output-state heterodyne measurements. We first derive analytical expressions for the mean squared-error that quantifies the reconstruction accuracy for general process tomography and large data. Using such expressions, upon relaxing the trace-preserving (TP) constraint, we introduce an error-reducing set of input coherent states that is independent of the measurement data or the unknown true process-the geometrical set. We numerically show that process reconstruction from such input coherent states is nearly as accurate as that from the best possible set of coherent states chosen with the complete knowledge about the process. This allows us to efficiently characterize Gaussian processes even with reasonably low-energy coherent states. We numerically observe that the geometrical strategy without trace preservation beats all nonadaptive strategies for arbitrary TP Gaussian processes of typical parameter ranges so long as the displacement components are not too large.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10306 - Optics (including laser optics and quantum optics)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    New Journal of Physics

  • ISSN

    1367-2630

  • e-ISSN

  • Volume of the periodical

    23

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    16

  • Pages from-to

    "063024-1"-"063024-16"

  • UT code for WoS article

    000659670600001

  • EID of the result in the Scopus database

    2-s2.0-85108027658