Work

Decoding Quantum Error Correction Codes With Local Variation

Year: 2020

Type: article

Abstract: In this article, we investigate the role of local information in the decoding of the repetition and surface error correction codes for the protection of quantum states. Our key result is an improvement in resource efficiency when local information is taken into account during the decoding process: the code distance associated with a given logical error rate is reduced with a magnitude depending on the proximity of the physical error rate to the accuracy threshold of the code. We also briefly discuss an averaged approach with local information for table lookup and localized decoding schemes, an expected breakdown of these effects for large-scale systems, and the importance of this resource reduction in the near term.

Source: IEEE Transactions on Quantum Engineering

DOI: 10.1109/tqe.2020.2967890

Authors: Michael Hanks, William J. Munro, Kae Nemoto

Institutions: National Institute of Informatics, The Graduate University for Advanced Studies, SOKENDAI, NTT (Japan), NTT Basic Research Laboratories

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,750

Funders: John Templeton Foundation, Ministry of Education, Culture, Sports, Science and Technology, Japan Society for the Promotion of Science