Quantum Entanglement Adaptive Quantum Computing

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

Quantum entanglement, a cornerstone of quantum mechanics, holds immense potential for revolutionizing computation. This paper explores the development of a novel quantum computing algorithm leveraging the unique properties of quantum entanglement to achieve adaptive quantum state adjustment, ultimately aiming to significantly enhance computational efficiency. We propose a framework wherein entangled qubits dynamically adjust their states based on input data, offering a pathway towards more efficient and versatile quantum computations. The core mechanism centers around a carefully orchestrated entanglement scheme and a sophisticated control mechanism to guide the qubits toward optimal states. The paper details the algorithm's design, implementation, and preliminary experimental results, demonstrating the potential of this approach to overcome limitations inherent in traditional quantum computing paradigms.

DOI: 10.5281/zenodo.22192130

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