Title: Adaptive Quantum Error Correction within Quantum Annealing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum annealing offers a promising approach to solving optimization problems, but its susceptibility to errors poses a significant challenge. Conventional error correction methods often require significant overhead and are not adaptable to the dynamic nature of quantum states. This paper introduces a novel adaptive quantum error correction scheme based on a dynamically evolving state evolution model. We demonstrate that this approach significantly improves the accuracy of quantum annealing simulations, particularly in complex scenarios involving rapidly changing quantum states. The core mechanism involves incorporating a model that predicts the error rate and adjusts the correction strategy accordingly. This enhanced adaptation improves the resilience of the algorithm and offers a viable solution to address a major hurdle in quantum computing – error mitigation. The proposed scheme provides a robust and efficient method for improving the reliability of quantum annealing.

DOI: 10.5281/zenodo.22194004

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