基于自适应的量子态的计算框架 (QACF)

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces the QACF, a novel computational framework designed for simulating and optimizing complex quantum systems. Traditional quantum computation methods often struggle with achieving accurate modeling and prediction, necessitating a shift towards dynamic quantum state manipulation. The QACF leverages this shift to enhance computational precision by intelligently adjusting the quantum state during simulations. The core mechanism involves a dynamically evolved quantum state, optimized for specific system characteristics and resulting in significantly improved results. This paper details the architecture, implementation, and preliminary results of the QACF, demonstrating its potential for complex quantum system modeling and optimization.

DOI: 10.5281/zenodo.22199203

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