Neural-Network Decoders for Quantum Error Correction Using Surface Codes: A Space Exploration of the Hardware Cost-Performance Tradeoffs

Neural-Network Decoders for Quantum Error Correction Using Surface Codes: A Space Exploration of the Hardware Cost-Performance Tradeoffs

Quantum error correction (QEC) is required in quantum computers to mitigate the effect of errors on physical qubits. When adopting a QEC scheme based on surface codes, error decoding is the most computationally expensive task in the classical electronic back-end. Decoders employing neural networks (...

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Bibliographic Details
Main Authors: Ramon W. J. Overwater, Masoud Babaie, Fabio Sebastiano
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Application-specific integrated circuit (ASIC)
complementary metal-oxide semiconductor (CMOS)
CMOS integrated circuits
combinational circuits
cryo-CMOS decoding
cryogenic electronics
Online Access:https://ieeexplore.ieee.org/document/9772289/

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https://ieeexplore.ieee.org/document/9772289/

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