Physical Simulation of Quantum Entanglement Parameters for Quantum Key Distribution Optimization
Jincheng Zhang
Quantum entanglement is a fundamental phenomenon in quantum mechanics with immense potential for secure communication and computation. Quantum Key Distribution (QKD) leverages entanglement to establish a secure key between two parties, offering unparalleled security. However, practical implementation of QKD faces challenges related to entanglement management and error correction. This paper explores a novel approach to QKD optimization using physical simulation, specifically focusing on dynamically adjusting entanglement parameters to enhance key distribution efficiency. We propose a framework that leverages the unique properties of entangled states to guide the optimization process, providing a more robust and adaptable method compared to traditional classical approaches. The core mechanism involves employing a quantum simulator to model entangled states and iteratively refine parameters, ultimately leading to improved key distribution performance. The study demonstrates the effectiveness of this approach through simulations and provides insights into potential improvements for future QKD systems.
•Aug 31, 2026•0 citations