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Quantum Error Correction: Noise-adapted Techniques and Applications

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arxiv 2208.00365 v1 pith:QTYPWNYF submitted 2022-07-31 quant-ph

Quantum Error Correction: Noise-adapted Techniques and Applications

classification quant-ph
keywords quantumerrornoisecorrectionnoise-adaptedphysicstechniquestheory
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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The quantum computing devices of today have tens to hundreds of qubits that are highly susceptible to noise due to unwanted interactions with their environment. The theory of quantum error correction provides a scheme by which the effects of such noise on quantum states can be mitigated, paving the way for realising robust, scalable quantum computers. In this article we survey the current landscape of quantum error correcting (QEC) codes, focusing on recent theoretical advances in the domain of noise-adapted QEC, and highlighting some key open questions. We also discuss the interesting connections that have emerged between such adaptive QEC techniques and fundamental physics, especially in the areas of many-body physics and cosmology. We conclude with a brief review of the theory of quantum fault tolerance which gives a quantitative estimate of the physical noise threshold below which error-resilient quantum computation is possible.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Backend-Aware Graph Learning for Denoising Outcome Distributions in Quantum Program Testing

    cs.SE 2026-07 conditional novelty 6.0

    Q-BRIDGE, a graph-transformer denoiser conditioned on backend features, reconstructs ideal outcome distributions from noisy quantum executions and markedly improves oracle-based bug detection.