基于自适应量子态的自适应拓扑控制

Jincheng Zhang

Published Sep 3, 2026• 0 citations

Abstract

Quantum state manipulation offers a paradigm shift in computational capabilities, particularly in complex quantum systems. Traditional methods often struggle with the inherent complexities of manipulating quantum states, demanding significant computational resources. This paper proposes a novel approach utilizing adaptive quantum state control – a system that dynamically adjusts the underlying quantum state to optimize control and efficiency. We introduce a novel algorithm based on self-adapting parameters, allowing for automated and highly efficient control of quantum states. This research addresses the limitations of existing techniques by introducing a mechanism for continuous parameter adjustment, paving the way for more effective quantum operations. The core focus is on achieving superior control and computational efficiency through the intelligent manipulation of quantum states. This work demonstrates the feasibility and potential of this approach, offering a significant advancement in the field of quantum state manipulation.

DOI: 10.5281/zenodo.22263698

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