Self-Adaptive Quantum State Measurement Algorithms

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

This paper introduces a novel self-adaptive quantum state measurement algorithm designed to enhance the precision of quantum measurements and signal processing. Traditional quantum measurement algorithms are typically static, limiting their applicability to relatively simple tasks. Our algorithm dynamically adjusts quantum states based on measurement outcomes, offering a significant advancement in the ability to precisely characterize quantum systems and perform complex signal manipulation. The core mechanism involves a continuous feedback loop that optimizes the quantum state for subsequent measurements. This approach overcomes the limitations of static algorithms, providing a more versatile and powerful tool for quantum information processing. The proposed algorithm offers significant improvements in measurement accuracy and signal fidelity, and represents a significant step towards practical quantum measurement technologies.

DOI: 10.5281/zenodo.22278891

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