Extracting error thresholds through the framework of approximate quantum error correction condition

The robustness of quantum memory against physical noises is measured by two methods: the exact and approximate quantum error correction (QEC) conditions for error recoverability and the decoder-dependent error threshold which assesses if the logical error rate diminishes with system size. Here we unravel their relations and propose a unified framework to extract an intrinsic error threshold from the approximate QEC condition, which could upper bound other decoder-dependent error thresholds. Our proof establishes that relative entropy, effectively measuring deviations from exact QEC conditions, serves as the order parameter delineating the transition from asymptotic recoverability to unrecoverability. Consequently, we establish a unified framework for determining the error threshold across both exact and approximate QEC codes, addressing errors originating from noise channels as well as those from code space imperfections. This result sharpens our comprehension of error thresholds across diverse QEC codes and error models. Published by the American Physical Society 2024

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Publication Details

Journal
Physical Review Research
Published
2024-12-11
DOI
https://doi.org/10.1103/physrevresearch.6.043258
Citations
7
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.43

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article

Extracting error thresholds through the framework of approximate quantum error correction condition

Dong E. Liu, Yuanchen Zhao
7 citations
Physical Review Research
Quantum Computing Algorithms and Architecture
2.43
article

Extracting error thresholds through the framework of approximate quantum error correction condition

Dong E. Liu, Yuanchen Zhao
article en
7 citations

Abstract

The robustness of quantum memory against physical noises is measured by two methods: the exact and approximate quantum error correction (QEC) conditions for error recoverability and the decoder-dependent error threshold which assesses if the logical error rate diminishes with system size. Here we unravel their relations and propose a unified framework to extract an intrinsic error threshold from the approximate QEC condition, which could upper bound other decoder-dependent error thresholds. Our proof establishes that relative entropy, effectively measuring deviations from exact QEC conditions, serves as the order parameter delineating the transition from asymptotic recoverability to unrecoverability. Consequently, we establish a unified framework for determining the error threshold across both exact and approximate QEC codes, addressing errors originating from noise channels as well as those from code space imperfections. This result sharpens our comprehension of error thresholds across diverse QEC codes and error models. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(4)
Hefei University (CN), Beijing Academy of Quantum Information Sciences (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Quantum Computing Algorithms and Architecture
2.43
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