Accelerated Flag Qubit Allocation for Fault-Tolerant Quantum Error Correction

In quantum computing, achieving error correction comparable to classical systems is crucial for long-term success. This involves measuring and extracting error syndromes to prevent error propagation. However, the constraints of quantum hardware necessitate optimizing these circuits for spatial and temporal efficiency. This paper presents a case study on a flag-based syndrome extraction technique, which aims to maximize parallelism while minimizing resource overhead. To address the scalability of quantum systems and adapt to various hardware constraints, a novel qubit allocation acceleration technique using precalculated unit-cells is proposed. This method enhances both the efficiency and flexibility of quantum compilers, making them more adept at handling quantum error correction challenges.

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Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827417
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Accelerated Flag Qubit Allocation for Fault-Tolerant Quantum Error Correction

Eunyoung Cho, Gyu‐Il Cha
Quantum Computing Algorithms and Architecture
article

Accelerated Flag Qubit Allocation for Fault-Tolerant Quantum Error Correction

Eunyoung Cho, Gyu‐Il Cha
article en

Abstract

In quantum computing, achieving error correction comparable to classical systems is crucial for long-term success. This involves measuring and extracting error syndromes to prevent error propagation. However, the constraints of quantum hardware necessitate optimizing these circuits for spatial and temporal efficiency. This paper presents a case study on a flag-based syndrome extraction technique, which aims to maximize parallelism while minimizing resource overhead. To address the scalability of quantum systems and adapt to various hardware constraints, a novel qubit allocation acceleration technique using precalculated unit-cells is proposed. This method enhances both the efficiency and flexibility of quantum compilers, making them more adept at handling quantum error correction challenges.

Electronics and Telecommunications Research Institute (KR)
Reduced inequalities
Openalex Percentile: Top 77%
Quantum Computing Algorithms and Architecture
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