Title: Adaptive Quantum Simulation of Dynamical Systems

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum simulation offers a powerful tool for studying complex systems, but the inherent complexity of these systems often necessitates meticulously tuned parameters. Traditional methods frequently rely on fixed parameter settings, limiting the system's adaptability. This paper proposes a novel adaptive quantum simulation technique that dynamically adjusts simulation parameters based on the observed dynamics of a dynamical system. We introduce a feedback loop that continuously optimizes these parameters to maintain system stability and fidelity. This represents a significant advancement in quantum simulation, enabling a more flexible and robust approach to modeling dynamic systems. This work aims to address the limitations of current quantum simulation techniques by providing a system capable of self-optimizing parameters, thus facilitating the study of systems with varying degrees of complexity. The core mechanism involves a continuous feedback loop that adjusts simulation parameters based on observed dynamics, fostering a dynamic and adaptive simulation process.

DOI: 10.5281/zenodo.22293567

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