Correcting quantum errors one gradient step at a time

Fuente: arXiv
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Main Authors: Seksaria, Manav, Prabhakar, Anil
Format: Preprint
Published: 2025
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author Seksaria, Manav
Prabhakar, Anil
author_facet Seksaria, Manav
Prabhakar, Anil
contents In this work, we introduce a general, gradient-based method that optimises codewords for a given noise channel and fixed recovery. We do so by differentiating fidelity and descending on the complex coefficients using finite-difference Wirtinger gradients with soft penalties to promote orthonormalisation. We validate the gradients on symmetry checks (XXX/ZZZ repetition codes) and the $[[5, 1, 3]]$ code, then demonstrate substantial gains under isotropic Pauli noise with Petz recovery: fidelity improves from 0.783 to 0.915 in 100 steps for an isotropic Pauli noise of strength 0.05. The procedure is deterministic, highly parallelisable, and highly scalable.
format Preprint
id arxiv_https___arxiv_org_abs_2512_18061
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Correcting quantum errors one gradient step at a time
Seksaria, Manav
Prabhakar, Anil
Quantum Physics
Numerical Analysis
In this work, we introduce a general, gradient-based method that optimises codewords for a given noise channel and fixed recovery. We do so by differentiating fidelity and descending on the complex coefficients using finite-difference Wirtinger gradients with soft penalties to promote orthonormalisation. We validate the gradients on symmetry checks (XXX/ZZZ repetition codes) and the $[[5, 1, 3]]$ code, then demonstrate substantial gains under isotropic Pauli noise with Petz recovery: fidelity improves from 0.783 to 0.915 in 100 steps for an isotropic Pauli noise of strength 0.05. The procedure is deterministic, highly parallelisable, and highly scalable.
title Correcting quantum errors one gradient step at a time
topic Quantum Physics
Numerical Analysis
url https://arxiv.org/abs/2512.18061