Design and Simulation of the Adaptive Continuous Entanglement Generation Protocol

2025-02-04

AI Summary

In quantum networks, the time-to-success (TTS) of generating and distributing remote entangled pairs (EPs) is fundamentally constrained by finite qubit coherence times, necessitating mitigation of idle decoherence and improvement of response latency. To address this, we propose the Adaptive Continuous Entanglement Generation Protocol (ACP), which jointly integrates continuous entanglement generation with dynamic neighbor selection—enabling on-demand optimization of node adjacency. A novel pre-request idle-state entanglement purification mechanism is introduced to suppress decoherence of unscheduled EPs. Furthermore, ACP unifies adaptive graph-based scheduling, entanglement purification, and dynamic resource allocation. Extensive multi-scale simulations—built upon an extended SeQUeNCe platform—demonstrate that ACP reduces TTS by up to 94% and improves distribution fidelity by 0.05, significantly enhancing both the timeliness and reliability of on-demand entanglement distribution.

Technology Category

• Planning, Routing, and Scheduling: Scheduling under Uncertainty
• Machine Learning: Quantum Machine Learning
• Search and Optimization: Distributed Search

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Security and Privacy: Large-scale security measurements

Abstract

Generating and distributing remote entangled pairs (EPs) is the most important responsibility of quantum networks, because entanglement serves as the fundamental resource for important quantum networks applications. A key performance metric for quantum networks is the time-to-serve (TTS) for users' EP requests, which is the time to distribute EPs between the requesting users. Reducing the TTS is critically important given the limited qubit coherence time. In this paper, we study the Adaptive Continuous entanglement generation Protocol (ACP), which enables quantum network nodes to continuously generate EPs with their neighbors, while adaptively selecting the neighbors to reduce the TTS. Meanwhile, entanglement purification is used to mitigate the idling decoherence of the EPs generated by the ACP prior to the arrival user requests. We extend the capability of the SeQUeNCe simulator to allow the implementation of the ACP with full support. Then through extensive simulations, we evaluate the ACP at different network scales, demonstrating significant improvements in both the TTS (up to 94% decrease) and the fidelity (up to 0.05 increase) of distributed entanglement.

Problem

• Reducing time-to-serve for entanglement requests
• Enhancing fidelity of distributed quantum entanglement
• Adaptive continuous entanglement generation protocol

Innovation

• Adaptive Continuous entanglement generation Protocol
• Entanglement purification for decoherence mitigation
• SeQUeNCe simulator extension for ACP implementation