Quantum Error Mitigation via Adaptive Noise Injection

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum computing holds immense promise for solving complex problems intractable for classical computers. However, quantum systems are notoriously susceptible to errors, making accurate computations challenging. Quantum error mitigation (QEM) techniques aim to reduce these errors, but current methods often rely on fixed parameters, limiting their effectiveness. This paper proposes a novel approach to QEM utilizing adaptive noise injection, dynamically adjusting the amount of noise based on the observed error profile. We demonstrate that this method significantly improves the accuracy of quantum computations, offering a more robust and adaptable solution compared to existing methods. The system incorporates a continuous error rate monitoring and noise injection mechanism, optimizing for minimal impact on the computation.

DOI: 10.5281/zenodo.22193756

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