Title: Adaptive Topological Optimization of Quantum States

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Adaptive Topological Optimization of Quantum States explores a novel approach to quantum computation by leveraging the inherent topological properties of quantum states. This research investigates a novel algorithm that dynamically adjusts the connectivity and path of quantum states, allowing for more efficient encoding and optimization within quantum circuits. The core claim posits that this algorithmic framework, driven by the principles of topological optimization, can significantly enhance the performance and scalability of quantum systems. The paper presents a detailed explanation of the algorithm's mechanics and its potential impact on quantum computation efficiency. This work contributes to the advancement of quantum algorithm design and offers a fundamentally different perspective on quantum state manipulation.

DOI: 10.5281/zenodo.22197031

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