基于自适应的量子模拟的容错优化

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel quantum simulation algorithm, termed "Adaptive Quantum Simulation with Error Mitigation," designed to address the challenges of quantum simulation, particularly concerning error mitigation. Traditional methods often rely on fixed parameter adjustments, leading to inherent stochasticity and potential inaccuracies. This work proposes a self-adaptive parameter adjustment strategy, leveraging quantum system dynamics to dynamically refine simulation parameters, thereby significantly reducing random errors during the simulation process. The algorithm's core mechanism involves a continuous assessment and adjustment of key simulation variables, resulting in improved accuracy and reliability of quantum simulations. The paper details the algorithm's implementation, provides a rigorous analysis of its performance, and explores its potential for enhancing the quality of quantum computations. We demonstrate the algorithm's effectiveness through illustrative examples, showcasing its ability to mitigate errors in a specific quantum system simulation scenario. The study concludes with a discussion of future research directions and potential applications of this approach.

DOI: 10.5281/zenodo.22295673

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