Quantum Simulation of Adaptive Quantum State Exploration

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum simulation offers a powerful tool for exploring complex quantum systems, but traditional methods often struggle with large-scale simulations and the need for efficient optimization. This paper introduces a novel quantum simulation algorithm, "Adaptive Quantum State Exploration," designed to overcome these limitations through dynamic parameter adjustment based on input data. We propose a framework that leverages the inherent adaptability of quantum simulation to intelligently optimize the simulation process, leading to significantly improved exploration and optimization capabilities. The core mechanism focuses on dynamically adjusting quantum parameters to enhance the representation of the system's state, ultimately enabling faster and more effective discovery of optimal quantum states. This work addresses the limitations of conventional quantum simulations and paves the way for more sophisticated and efficient quantum algorithm development.

DOI: 10.5281/zenodo.22290549

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