Adaptive Quantum Entanglement Network (AQEN)

Jincheng Zhang

Published Aug 29, 2026• 0 citations

Abstract

This paper proposes the Adaptive Quantum Entanglement Network (AQEN), a novel system designed for efficient quantum communication and computation by dynamically adjusting its entanglement network topology. The core mechanism relies on a feedback control algorithm that monitors quantum channel loss and noise levels, enabling real-time optimization of entanglement node connections. This adaptive approach contrasts with traditional fixed-topology quantum networks, offering enhanced resilience to noise and improved performance through dynamic topology reconfiguration. We introduce a mathematical framework for describing the AQEN, focusing on the key elements of entanglement quality, channel loss, and the feedback control process. The proposed system aims to significantly improve the reliability and scalability of quantum networks, paving the way for more robust and efficient quantum technologies. The system is modeled using a state-space representation, where the entangled state vector *|ψ⟩* is continuously updated based on the control inputs. The core equation governing this update is: *|ψ(t+Δt)| = U(t) |ψ(t)| + Σi αi *|φi⟩* where *|ψ(t)|* represents the entangled state at time *t*, *U(t)* is the unitary evolution operator, *Δt* is the time step, and *αi* are the control parameters. The fidelity of the entangled state, *F*, is continuously monitored and fed back into the control loop to adjust *αi*. Channel loss, *L*, is characterized by the attenuation factor applied to the quantum state during transmission, and noise, *N*, is represented as a perturbation term in the unitary operator *U(t)*. The goal is to minimize the combined effect of *L* and *N* on the fidelity *F*. This work lays the groundwork for future research and development in adaptive quantum networking. ---

DOI: 10.5281/zenodo.22153007

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