Improved quantum error correction with randomized compiling

Abstract

Current hardware for quantum computing suffers from high levels of noise, and so to achieve practical fault-tolerant quantum computing will require powerful and efficient methods to correct for errors in quantum circuits. Here, we explore the role and effectiveness of using noise tailoring techniques to improve the performance of error correcting codes. Noise tailoring methods such as randomized compiling (RC) convert complex coherent noise processes to effective stochastic noise. While it is known that this can be leveraged to design efficient diagnostic tools, we explore its impact on the performance of error correcting codes. Of particular interest is the important class of coherent errors, arising from control errors, where RC has the maximum effect -- converting these into purely stochastic errors. For these errors, we show here that RC delivers an improvement in performance of the concatenated Steane code by several orders of magnitude. We also show that below a threshold rotation angle, the gains in logical fidelity can be arbitrarily magnified by increasing the size of the codes. These results suggest that using randomized compiling can lead to a significant reduction in the resource overhead required to achieve fault tolerance.

arXiv comment7 pages + 8 page appendix, 8 figures

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Cited by in corpus (8)

• Scalable noise characterization of syndrome-extraction circuits with averaged circuit eigenvalue sampling
• Modeling error correction with Lindblad dynamics and approximate channels
• LUCI in the Surface Code with Dropouts
• Detrimental non-Markovian errors for surface code memory
• Increasing the Measured Effective Quantum Volume with Zero Noise Extrapolation
• Logical Noise Bias in Magic State Injection
• Accreditation Against Limited Adversarial Noise
• Fluctuation-guided adaptive random compiler for Hamiltonian simulation