Quantum State Generation via Adaptive Entanglement

Jincheng Zhang

Published Sep 5, 2026• 0 citations

Abstract

Quantum state generation is a crucial cornerstone of quantum information processing, particularly in quantum communication and quantum computing. Current approaches often rely on pre-defined entanglement schemes, limiting their adaptability to complex and dynamic environments. This paper introduces a novel quantum state generation algorithm, termed "Adaptive Entanglement Generation," that dynamically adjusts the strength and pattern of entanglement based on input data. The core mechanism involves a quantum environment simulator that iteratively adjusts the entanglement parameters, enabling a far more flexible and powerful generation process than conventional methods. This advancement addresses the limitations of static entanglement schemes, offering a significant step toward more efficient and practical quantum technologies. The algorithm demonstrates its efficacy through simulated experiments, showcasing enhanced entanglement fidelity and improved communication protocols.

DOI: 10.5281/zenodo.22327142

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