基于高阶自适应的量子测量算法

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum measurement is a fundamental process in quantum physics, and its accuracy and efficiency are critical for various applications. Traditional quantum measurement algorithms often rely on classical computation, limiting their potential for precise and rapid results. This paper introduces a novel high-order adaptive quantum measurement algorithm that leverages the unique characteristics of high-order self-adaptation to significantly enhance the accuracy and efficiency of quantum measurements. The algorithm employs a dynamically adjusted quantum state evolution strategy, resulting in improved fidelity and reduced computational complexity compared to conventional approaches. We present the theoretical analysis, implementation details, and experimental validation of this algorithm, demonstrating its superior performance in various quantum measurement tasks. The core mechanism involves a carefully orchestrated sequence of state transformations and measurement strategies, optimized through adaptive self-adaptation. This approach promises to revolutionize quantum measurement methodologies, offering a pathway towards more reliable and efficient quantum information processing.

DOI: 10.5281/zenodo.22192656

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