HetEC: Architectures for Heterogeneous Quantum Error Correction Codes

Quantum Error Correction (QEC) is essential for future quantum computers due to its ability to exponentially suppress physical errors. The surface code is a leading error-correcting code candidate because of its local topological structure, experimentally achievable thresholds, and support for universal gate operations with magic states. However, its physical overhead scales quadratically with number of correctable errors. Conversely, quantum low-density parity-check (qLDPC) codes offer superior scaling but lack, on their own, a clear path to universal logical computation. Therefore, it is becoming increasingly evident that there are significant advantages to designing architectures using multiple codes. Heterogeneous architectures provide a clear path to universal logical computation as well as the ability to access different resource trade offs.

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Publication Details

Published
2025-03-27
DOI
https://doi.org/10.1145/3676641.3716001
Citations
6
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
14.89
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HetEC: Architectures for Heterogeneous Quantum Error Correction Codes

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6 citations
Quantum Computing Algorithms and Architecture
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article

HetEC: Architectures for Heterogeneous Quantum Error Correction Codes

Theodore J. Yoder, Yongshan Ding, Zeyuan Zhou, Shifan Xu, Chenxu Liu, Kun Liu, Ali Javadi-Abhari, Yufei Ding, Samuel Stein, Andrew W. Cross, Charles Guinn, Ang Li
article en
6 citations

Abstract

Quantum Error Correction (QEC) is essential for future quantum computers due to its ability to exponentially suppress physical errors. The surface code is a leading error-correcting code candidate because of its local topological structure, experimentally achievable thresholds, and support for universal gate operations with magic states. However, its physical overhead scales quadratically with number of correctable errors. Conversely, quantum low-density parity-check (qLDPC) codes offer superior scaling but lack, on their own, a clear path to universal logical computation. Therefore, it is becoming increasingly evident that there are significant advantages to designing architectures using multiple codes. Heterogeneous architectures provide a clear path to universal logical computation as well as the ability to access different resource trade offs.

IBM (United States) (US), Pacific Northwest National Laboratory (US), Princeton University (US), University of Washington (US), Yale University (US), University of California San Diego (US)
Openalex Percentile: Top 1%
Quantum Computing Algorithms and Architecture
14.89
DOISourceOpenAlex
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