Error Mitigation of Fault-Tolerant Quantum Circuits with Soft Information
Zeyuan Zhou, Shaun Pexton, Aleksander Kubica, and Yongshan Ding

TL;DR
This paper demonstrates that quantum error mitigation techniques, when integrated with fault-tolerant quantum error correction and utilizing soft information from decoders, can significantly reduce logical error rates and improve efficiency in quantum computing.
Contribution
It introduces a logical-level quantum error mitigation framework that leverages soft information from QEC decoders, enabling substantial error reduction without additional hardware or overhead.
Findings
Logical error rates reduced by over 100x
Fewer than 0.1% shots discarded
Achieved up to 87.4% overhead savings
Abstract
Quantum error mitigation (QEM) is typically viewed as a suite of practical techniques for today's noisy intermediate-scale quantum devices, with limited relevance once fault-tolerant quantum computers become available. In this work, we challenge this conventional wisdom by showing that QEM can continue to provide substantial benefits in the era of quantum error correction (QEC), and in an even more efficient manner than it does on current devices. We introduce a framework for logical-level QEM that leverages soft information naturally produced by QEC decoders, requiring no additional data, hardware modifications, or runtime overhead beyond what QEC protocols already provide. Within this framework, we develop and analyze three logical-level QEM techniques: post-selection and runtime abort policies, probabilistic error cancellation, and zero-noise extrapolation. Our techniques reduce…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata · Radiation Effects in Electronics
