自适应量子态的动态能量控制

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel approach to quantum state control centered around dynamic energy modulation. We propose a self-adaptive algorithm that intelligently adjusts key quantum parameter values, specifically frequency and phase, to optimize the performance of quantum computation. The core mechanism involves a hierarchical feedback loop that continuously refines these parameters based on observed outcomes, resulting in enhanced qubit coherence and reduced error rates. This approach offers a significant advancement over traditional static control methods, potentially unlocking new capabilities within quantum computing. The theoretical analysis demonstrates the efficacy of this method in enhancing quantum coherence and exploring its impact on quantum algorithm complexity.

DOI: 10.5281/zenodo.22302263

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