Title: Dynamic Quantum Entanglement Generation via Feedback Loops

Jincheng Zhang

Published Sep 2, 2026• 0 citations

Abstract

This paper explores the development of a novel system for dynamically generating quantum entanglement. Traditional entanglement generation methods are typically static, relying on pre-defined parameters and sequential operations. We propose a dynamic system driven by real-time data analysis, employing a feedback loop to continuously optimize the entanglement rate. The core mechanism centers around a closed-loop control system that adjusts entanglement generation parameters based on a continuously monitored performance metric, effectively achieving adaptive entanglement generation. This approach offers the potential for significantly enhanced entanglement rates and robustness compared to traditional static methods. The development of this system represents a significant step towards a more adaptable and efficient approach to quantum information processing.

DOI: 10.5281/zenodo.22241806

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