Quantum State Adaptation to Classical Simulation: A Novel Approach

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

Quantum state adaptation to classical simulation is a promising technique for enhancing the computational efficiency of quantum simulations. This paper explores a novel approach to this problem, leveraging the inherent adaptability of quantum states to dynamically adjust simulation parameters. We propose a method that transforms the core quantum simulation process into a classical simulation, effectively reducing the computational burden while maintaining the fidelity of the simulated quantum system. The core mechanism centers around a self-tuning algorithm that analyzes data characteristics to optimize the transition between quantum and classical representations. This research aims to provide a framework for significantly accelerating quantum simulations, particularly for complex systems and large-scale simulations, offering a potential path toward practical quantum computing. The study also discusses the theoretical foundations and preliminary results demonstrating the effectiveness of this adaptation strategy.

DOI: 10.5281/zenodo.22152730

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