Quantum Information Topology Optimization Algorithm

Jincheng Zhang

Published Sep 6, 2026• 0 citations

Abstract

The development of quantum information processing relies heavily on the precise control and manipulation of quantum states. Traditional optimization algorithms often struggle to efficiently explore the vast solution space of quantum systems, limiting the potential for achieving significant performance gains. This paper introduces a novel quantum information topology optimization algorithm, leveraging the principles of quantum topology to guide the optimization process. We propose a framework that integrates quantum mechanics, topology, and optimization techniques to enhance the design and control of complex quantum states. The core mechanism involves utilizing quantum entanglement and topological structures to create a more structured and efficient optimization pathway. This approach promises to unlock new levels of performance and capability in quantum computation, potentially revolutionizing the field.

DOI: 10.5281/zenodo.22447033

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