Self-Adaptive Topological Structure Mapping for Quantum Computation

Jincheng Zhang

Published Sep 7, 2026• 0 citations

Abstract

This paper investigates the application of self-adaptive topological structure mapping to quantum computation, aiming to enhance computational efficiency through dynamic adjustments to the underlying topology. We introduce a novel algorithm that leverages quantum entanglement and superposition to iteratively refine the topology of a quantum system, optimizing for specific computational tasks. The core mechanism involves a series of controlled rotations and phase shifts applied to the quantum state, guided by a feedback loop that minimizes energy and maximizes fidelity. We demonstrate the effectiveness of this approach through simulations and preliminary experimental results, showcasing improved performance compared to traditional methods in a specific benchmark problem. The proposed algorithm offers a pathway toward more robust and adaptable quantum computation.

DOI: 10.5281/zenodo.22581887

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