Efficient diagnostics for quantum error correction

• URL: http://arxiv.org/abs/2108.10830v1
• Date: Tue, 24 Aug 2021 16:28:29 GMT
• Title: Efficient diagnostics for quantum error correction
• Authors: Pavithran Iyer, Aditya Jain, Stephen D. Bartlett and Joseph Emerson
• Abstract summary: We present a scalable experimental approach based on Pauli error reconstruction to predict the performance of codes. Numerical evidence demonstrates that our method significantly outperforms predictions based on standard error metrics for various error models.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Fault-tolerant quantum computing will require accurate estimates of the resource overhead, but standard metrics such as gate fidelity and diamond distance have been shown to be poor predictors of logical performance. We present a scalable experimental approach based on Pauli error reconstruction to predict the performance of concatenated codes. Numerical evidence demonstrates that our method significantly outperforms predictions based on standard error metrics for various error models, even with limited data. We illustrate how this method assists in the selection of error correction schemes.

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