Adaptive Quantum Simulation: An Automated Optimization Approach for Quantum System Modeling

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces Adaptive Quantum Simulation (AQS), a novel algorithm for quantum system modeling that dynamically adjusts simulation parameters based on the complexity of the system being simulated and the desired simulation outcome. Traditional simulation methods necessitate manual parameter tuning, limiting the scope of exploration and potentially hindering efficiency. AQS leverages a self-adaptive mechanism to automatically optimize these parameters, leading to enhanced simulation speed and improved results. We detail the core concept, the mechanism of operation, and preliminary results demonstrating the algorithm's effectiveness in various quantum simulation scenarios. The paper concludes with a discussion of the potential impact of AQS on the field of quantum computation and its implications for future simulation techniques.

DOI: 10.5281/zenodo.22198985

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