Adaptive Noise-Resonance for Quantum Simulation

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum simulation, a powerful tool for understanding complex quantum systems, faces significant challenges due to inherent noise. This paper investigates the use of Adaptive Noise-Resonance (ANR) to mitigate these errors, offering a novel approach to enhance the accuracy and stability of quantum simulations. We propose a technique that dynamically adjusts noise levels during the simulation process, effectively reducing errors by leveraging the feedback loop between the simulation and the noise. The core mechanism centers on creating a resonant frequency within the simulation, where noise is strategically introduced to counteract errors. The paper details the theoretical framework, implementation of ANR, and preliminary experimental results demonstrating its efficacy. The significance of this research lies in its potential to significantly improve the reliability and speed of quantum simulations, opening doors to more complex and accurate models.

DOI: 10.5281/zenodo.22153456

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