A NEAT quantum error decoder
Hugo Théveniaut, Evert van Nieuwenburg
SciPost Phys. 11, 005 (2021) · published 12 July 2021
- doi: 10.21468/SciPostPhys.11.1.005
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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.
Cited by 1
Authors / Affiliations: mappings to Contributors and Organizations
See all Organizations.- 1 2 Hugo Théveniaut,
- 1 Everard van Nieuwenburg
Funders for the research work leading to this publication
- Agence Nationale de la Recherche [ANR]
- Horizon 2020 (through Organization: European Commission [EC])
- Partnership for Advanced Computing in Europe AISBL (PRACE) (through Organization: Partnership for Advanced Computing in Europe [PRACE])