基于量子态的自适应算法设计

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper introduces a novel algorithm framework based on quantum states, leveraging quantum state dynamics for optimization and improvement of complex algorithms. Traditional algorithmic approaches often rely on classical parameters, offering limited flexibility in adapting to dynamic environments. This work proposes a new paradigm where quantum states serve as a dynamic baseline, enabling the algorithm to adjust its operation based on subtle changes in the underlying quantum system. We detail the architecture of this framework, outlining the key components and the underlying principles governing its adaptive behavior. The core claim is that this approach provides a fundamentally different and potentially more efficient method for tackling complex computational problems, surpassing the limitations of traditional algorithms through the inherent properties of quantum mechanics. We present a preliminary analysis demonstrating the algorithm's capabilities through illustrative examples, highlighting the potential for significant performance gains in specific scenarios.

DOI: 10.5281/zenodo.22191128

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