A NEAT quantum error decoder

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Standard

A NEAT quantum error decoder. / Theveniaut, Hugo; van Nieuwenburg, Everard.

I: SciPost Physics, Bind 11, Nr. 1, 005, 12.07.2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Theveniaut, H & van Nieuwenburg, E 2021, 'A NEAT quantum error decoder', SciPost Physics, bind 11, nr. 1, 005. https://doi.org/10.21468/SciPostPhys.11.1.005

APA

Theveniaut, H., & van Nieuwenburg, E. (2021). A NEAT quantum error decoder. SciPost Physics, 11(1), [005]. https://doi.org/10.21468/SciPostPhys.11.1.005

Vancouver

Theveniaut H, van Nieuwenburg E. A NEAT quantum error decoder. SciPost Physics. 2021 jul. 12;11(1). 005. https://doi.org/10.21468/SciPostPhys.11.1.005

Author

Theveniaut, Hugo ; van Nieuwenburg, Everard. / A NEAT quantum error decoder. I: SciPost Physics. 2021 ; Bind 11, Nr. 1.

Bibtex

@article{4338fbef9f694256b337cfddbf02a10a,
title = "A NEAT quantum error decoder",
abstract = "We investigate the use of the evolutionary NEAT algorithm for the optimization of a policy network that performs quantum error decoding on the toric code, with bitflip and depolarizing noise, one qubit at a time. We find that these NEAT-optimized network decoders have similar performance to previously reported machine-learning based decoders, but use roughly three to four orders of magnitude fewer parameters to do so.",
author = "Hugo Theveniaut and {van Nieuwenburg}, Everard",
year = "2021",
month = jul,
day = "12",
doi = "10.21468/SciPostPhys.11.1.005",
language = "English",
volume = "11",
journal = "SciPost Physics",
issn = "2542-4653",
publisher = "SCIPOST FOUNDATION",
number = "1",

}

RIS

TY - JOUR

T1 - A NEAT quantum error decoder

AU - Theveniaut, Hugo

AU - van Nieuwenburg, Everard

PY - 2021/7/12

Y1 - 2021/7/12

N2 - We investigate the use of the evolutionary NEAT algorithm for the optimization of a policy network that performs quantum error decoding on the toric code, with bitflip and depolarizing noise, one qubit at a time. We find that these NEAT-optimized network decoders have similar performance to previously reported machine-learning based decoders, but use roughly three to four orders of magnitude fewer parameters to do so.

AB - We investigate the use of the evolutionary NEAT algorithm for the optimization of a policy network that performs quantum error decoding on the toric code, with bitflip and depolarizing noise, one qubit at a time. We find that these NEAT-optimized network decoders have similar performance to previously reported machine-learning based decoders, but use roughly three to four orders of magnitude fewer parameters to do so.

U2 - 10.21468/SciPostPhys.11.1.005

DO - 10.21468/SciPostPhys.11.1.005

M3 - Journal article

VL - 11

JO - SciPost Physics

JF - SciPost Physics

SN - 2542-4653

IS - 1

M1 - 005

ER -

ID: 275947237