基于自适应的量子态迁移算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum state manipulation is a cornerstone of quantum computing, enabling complex computations and novel quantum algorithms. Traditional quantum state transfer protocols, while effective, often rely on predefined parameters and can be inflexible in the face of system dynamics. This paper introduces a novel algorithm, termed "Adaptive Quantum State Migration," designed to dynamically adjust quantum state parameters based on system feedback, thereby enhancing optimization efficiency and performance. The core mechanism leverages a self-adaptive algorithm to continuously refine the quantum state, adapting to changes in the system. This approach overcomes limitations of static protocols, providing a more robust and adaptable solution for quantum state management. We present a detailed analysis of the algorithm's performance and demonstrate its efficacy through illustrative examples. This research focuses on optimizing the transition of quantum states within a quantum system, showcasing its potential for broader applications in quantum information processing.

DOI: 10.5281/zenodo.22188680

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