基于动态自适应的量子态的计算

Jincheng Zhang

Published Sep 1, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum state computation based on dynamic adaptive mechanisms. Traditional quantum state computation largely relies on static state representations, but this research leverages dynamic adaptive techniques to simulate quantum system behavior and improve prediction accuracy. We propose a method for dynamically adjusting quantum state parameters to effectively emulate the inherent adaptability of quantum systems. The core mechanism involves a feedback loop that continuously optimizes the state representation, enhancing the fidelity of quantum computations. This advancement holds significant potential for accelerating quantum algorithms and improving the reliability of quantum systems. This work represents a substantial step towards more robust and efficient quantum computation.

DOI: 10.5281/zenodo.22221073

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