Quantum Information Theory Optimization via Adaptive Topological Structure

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum information theory offers unprecedented potential for secure communication and computation, but its practical implementation often faces challenges related to optimization. This paper presents an innovative approach to quantum information processing – Adaptive Topological Structure Optimization (ATSO) – leveraging the unique properties of quantum information theory. We propose an algorithm that dynamically adjusts the topology of quantum states based on feedback from quantum information theory, enabling optimized data encoding and manipulation. This optimization process enhances the fidelity and efficiency of quantum information processing. The core mechanism centers around utilizing quantum entanglement to learn and refine the underlying topological structure, leading to superior performance compared to traditional optimization methods. The research demonstrates the effectiveness of ATSO through simulations and theoretical analysis, highlighting its potential to significantly advance the development of quantum information technologies.

DOI: 10.5281/zenodo.22187910

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