Quantum Error Mitigation Techniques for Complex Algorithms

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum error mitigation (QEM) is a crucial step in developing quantum algorithms, aiming to reduce the impact of errors during computation. However, complex algorithms often exhibit significant errors, necessitating sophisticated mitigation strategies. This paper explores the application of novel QEM techniques, focusing on a dynamically adjustable system to minimize errors within complex algorithms. We propose a design that adapts to the specific error characteristics of the algorithm, enhancing accuracy and providing a more robust solution compared to existing approaches. The core mechanism centers around a feedback loop that continuously monitors and adjusts the algorithm's parameters to counteract errors, resulting in improved performance. This work presents a conceptual framework for a transformative QEM approach, demonstrating the potential for significant accuracy gains through intelligent adaptation.

DOI: 10.5281/zenodo.22200175

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