Quantum State Search Algorithm Based on Adaptive Quantum State Search

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper presents a novel quantum state search algorithm designed to enhance the efficiency of quantum computation. Traditional quantum state search algorithms often rely on static parameter settings, limiting their ability to adapt to the system's dynamic changes. We introduce an adaptive quantum state search algorithm that dynamically adjusts search parameters based on the system's response, leading to improved optimization and performance. The core mechanism leverages the algorithm's self-adaptive nature to continuously refine the search process, addressing a critical limitation in existing approaches. This work demonstrates the effectiveness of this approach through a series of simulations and analysis, showcasing significant improvements in solution quality and computational efficiency.

DOI: 10.5281/zenodo.22188648

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