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Experimental hybrid quantum-classical reinforcement learning by boson sampling: how to train a quantum cloner

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F19%3A00512077" target="_blank" >RIV/68378271:_____/19:00512077 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15310/19:73596066

  • Result on the web

    <a href="http://hdl.handle.net/11104/0302290" target="_blank" >http://hdl.handle.net/11104/0302290</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1364/OE.27.032454" target="_blank" >10.1364/OE.27.032454</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Experimental hybrid quantum-classical reinforcement learning by boson sampling: how to train a quantum cloner

  • Original language description

    We report on experimental implementation of a machine-learned quantum gate driven by a classical control. The gate learns optimal phase-covariant cloning in a reinforcement learning scenario having fidelity of the clones as reward. In our experiment, the gate learns to achieve nearly optimal cloning fidelity allowed for this particular class of states. This makes it a proof of present-day feasibility and practical applicability of the hybrid machine learning approach combining quantum information processing with classical control. The quantum information processing performed by the setup is equivalent to boson sampling, which, in complex systems, is predicted to manifest quantum supremacy over classical simulation of linear-optical setups.n

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Optics Express

  • ISSN

    1094-4087

  • e-ISSN

  • Volume of the periodical

    27

  • Issue of the periodical within the volume

    22

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    32454-32464

  • UT code for WoS article

    000492996000109

  • EID of the result in the Scopus database

    2-s2.0-85074357139