Quantum Entanglement's Adaptive Quantum Algorithm

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper explores the potential of adaptive quantum algorithms, leveraging the unique properties of quantum entanglement, to revolutionize quantum computation. We introduce a novel framework centered on dynamically adjusting quantum parameters in response to input data, aiming to enhance computational efficiency. The core mechanism involves utilizing self-adjusting entanglement to achieve this dynamic adjustment. The research presents a theoretical foundation and a preliminary implementation demonstrating the framework's capabilities. The work addresses a critical challenge in quantum algorithm design: the need for flexible and adaptive solutions.

DOI: 10.5281/zenodo.22199219

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