Accurate optimal quantum error correction thresholds from coherent information

• URL: http://arxiv.org/abs/2312.06664v2
• Date: Wed, 22 May 2024 08:16:50 GMT
• Title: Accurate optimal quantum error correction thresholds from coherent information
• Authors: Luis Colmenarez, Ze-Min Huang, Sebastian Diehl, Markus Müller,
• Abstract summary: We use the coherent information of the mixed state of noisy QEC codes to accurately estimate the associated optimal QEC thresholds. Our findings establish the coherent information as a reliable competitive practical tool for the calculation of optimal thresholds of state-of-the-art QEC codes.
• Score: 1.351813974961217
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum error correcting (QEC) codes protect quantum information from decoherence, as long as error rates fall below critical error thresholds. In general, obtaining thresholds implies simulating the QEC procedure using, in general, sub-optimal decoding strategies. In a few cases and for sufficiently simple noise models, optimal decoding of QEC codes can be framed as a phase transition in disordered classical spin models. In both situations, accurate estimation of thresholds demands intensive computational resources. Here we use the coherent information of the mixed state of noisy QEC codes to accurately estimate the associated optimal QEC thresholds already from small-distance codes at moderate computational cost. We show the effectiveness and versatility of our method by applying it first to the topological surface and color code under bit-flip and depolarizing noise. We then extend the coherent information based methodology to phenomenological and quantum circuit level noise settings. For all examples considered we obtain highly accurate estimates of optimal error thresholds from small, low-distance instances of the codes, in close accordance with threshold values reported in the literature. Our findings establish the coherent information as a reliable competitive practical tool for the calculation of optimal thresholds of state-of-the-art QEC codes under realistic noise models.

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