Practical Error Suppression and Mitigation for Reliable Quantum Computing

• URL: http://arxiv.org/abs/2608.20453v1
• Date: Thu, 20 Aug 2026 18:00:02 GMT
• Title: Practical Error Suppression and Mitigation for Reliable Quantum Computing
• Abstract summary: We discuss hardware-aware circuit design, coherent-error suppression, readout mitigation, noise extrapolation, classical inference, and software-supported.<n>We examine how error mitigation techniques can be adapted to encoded and logical-qubit settings so that they can operate alongside quantum error correction.
• Score: 6.851554431376911
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Quantum computing is entering a transitional regime between noisy intermediate-scale quantum (NISQ) processing and early fault-tolerant quantum computation (FTQC), in which increasingly capable hardware is beginning to support repeated syndrome measurements, partial error correction, and logical-qubit operations, while residual physical and logical errors remain non-negligible. In this regime, error suppression, error mitigation, and quantum error correction are increasingly better viewed as complementary layers of a unified error-reduction strategy rather than as separate approaches, with each acting at a different stage of the quantum computation to improve simulation reliability. Thus, in this review, we provide a practical and forward-looking overview of the principal hardware error sources and the corresponding error suppression and mitigation methods for reducing their impact across the current NISQ-FTQC transition. We discuss hardware-aware circuit design, coherent-error suppression, readout mitigation, noise extrapolation, classical inference, and software-supported workflows, with particular emphasis on their implementation on actual quantum processors. We further examine how error mitigation techniques can be adapted to encoded and logical-qubit settings so that they can operate alongside quantum error correction to suppress residual logical errors and improve the accuracy of computation in the early fault-tolerant regime.

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