基于自适应的量子信息熵的计算 - 量子信息熵的计算框架

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

This paper introduces a novel computational framework for quantifying quantum information entropy, leveraging the principles of quantum entanglement and quantum algorithms. The framework aims to provide efficient and accurate entropy calculations, addressing limitations of traditional approaches. We propose a quantum-enhanced entropy calculation method centered around the manipulation of quantum entanglement, incorporating optimization techniques to accelerate the calculation process. The core mechanism focuses on utilizing entangled qubits to explore the complex probability distribution underlying quantum information entropy. This offers a fundamentally different approach to entropy computation, capitalizing on the unique properties of quantum systems. The proposed framework demonstrates potential for improved accuracy and scalability compared to existing methods, offering a promising step towards practical quantum information processing.

DOI: 10.5281/zenodo.22496814

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