基于自适应的量子计算的量子态跃迁算法

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper explores the application of a novel adaptive quantum computing algorithm, designed to enhance quantum state transition rates. Traditional quantum algorithms often rely on fixed parameters, limiting their computational efficiency. We present a new approach that dynamically adjusts quantum state transition parameters to optimize the execution of quantum algorithms. This optimization is achieved through a feedback mechanism that continuously evaluates and refines the transition probabilities, leading to significantly improved efficiency in quantum state manipulation. The core of this algorithm is a sophisticated feedback loop that adapts to the inherent dynamics of the quantum system, resulting in enhanced performance compared to existing methods. We demonstrate the effectiveness of this adaptive approach through simulations and preliminary experimental results, illustrating its potential to revolutionize quantum computation.

DOI: 10.5281/zenodo.22509337

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