Dynamic Topology for Quantum State Transfer and Mitigation

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

Quantum state transfer and mitigation are critical challenges in quantum computing, requiring efficient and robust methods to handle complex quantum systems. This paper introduces a novel dynamic topology framework for quantum state transfer and mitigation, leveraging the inherent self-adaptive properties of quantum topology. We propose a method that dynamically adjusts the topology to facilitate rapid state shifts and mitigates potential errors arising from quantum decoherence. The core mechanism centers on employing a series of iterative transformations within the dynamic topology to minimize the impact of environmental noise. The advantages of this approach include enhanced efficiency, improved stability, and the potential for scaling quantum computations. This research contributes to a fundamental shift in the design of quantum algorithms, offering a promising path toward more practical and reliable quantum computing.

DOI: 10.5281/zenodo.22294808

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