Real-time decoding for fault-tolerant quantum computing

Progress, challenges and outlook

Review (2023)
Author(s)

F. Battistel (Qblox)

C. Chamberland (AWS Center for Quantum Computing, California Institute of Technology)

K. Johar (Riverlane Ltd)

R. W.J. Overwater (TU Delft - QCD/Sebastiano Lab, TU Delft - QuTech Advanced Research Centre)

F. Sebastiano (TU Delft - Electrical Engineering, Mathematics and Computer Science, TU Delft - QuTech Advanced Research Centre)

L. Skoric (Riverlane Ltd)

Y. Ueno (University of Tokyo, Technische Universität München)

M. Usman (University of Melbourne)

Research Institute
QuTech Advanced Research Centre
DOI related publication
https://doi.org/10.1088/2399-1984/aceba6 Final published version
More Info
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Publication Year
2023
Language
English
Research Institute
QuTech Advanced Research Centre
Journal title
Nano Futures
Issue number
3
Volume number
7
Article number
032003
Downloads counter
452
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Institutional Repository

Abstract

Quantum computing is poised to solve practically useful problems which are computationally intractable for classical supercomputers. However, the current generation of quantum computers are limited by errors that may only partially be mitigated by developing higher-quality qubits. Quantum error correction (QEC) will thus be necessary to ensure fault tolerance. QEC protects the logical information by cyclically measuring syndrome information about the errors. An essential part of QEC is the decoder, which uses the syndrome to compute the likely effect of the errors on the logical degrees of freedom and provide a tentative correction. The decoder must be accurate, fast enough to keep pace with the QEC cycle (e.g. on a microsecond timescale for superconducting qubits) and with hard real-time system integration to support logical operations. As such, real-time decoding is essential to realize fault-tolerant quantum computing and to achieve quantum advantage. In this work, we highlight some of the key challenges facing the implementation of real-time decoders while providing a succinct summary of the progress to-date. Furthermore, we lay out our perspective for the future development and provide a possible roadmap for the field of real-time decoding in the next few years. As the quantum hardware is anticipated to scale up, this perspective article will provide a guidance for researchers, focusing on the most pressing issues in real-time decoding and facilitating the development of solutions across quantum, nano and computer science.