Optimizing Quantum Networks: A SeQUeNCe Simulation and Performance Analysis of Chicago's Topology
Discipline: Physics
Session: 1
Room: 4 - Hanover F
Jada Emodogo - Jackson State Univeristy
*Why This Research is Important* Recent developments in the field of quantum information science have made it possible to build working models of quantum communication networks and investigate various quantum network topologies [1]. *Methods* Modeling the Chicago metropolitan quantum network topology is demonstrated in this work through the utilization of SeQUeNCe, a customizable quantum network simulator. The topology of the simulated network is strengthened by three quantum links, which ensures a more robust connectivity, and consists of ten nodes that are distributed across five physical locations [1]. Furthermore, in order to facilitate the generation of entanglement, a Bell State Measurement (BSM) node is positioned at the midpoint of each optical link [1].
The modular architecture that SeQUeNCe utilizes consists of hardware models, protocols for entanglement management, resource and network management, and application layers [1]. This framework makes it possible to facilitate exhaustive simulations that encompass both current and future quantum networking technologies. Our simulations demonstrate a photonic quantum network integrated with quantum memories, showing how important hardware factors affect network throughput while simultaneously assessing the effects of classical control message latencies and the efficacy of quantum memory use [1].
The performance of the modeled Chicago quantum topology will be the primary focus of this presentation, which will also examine the impact of hardware and protocol configurations. *Hypothesis* Utilizing SeQUeNCe we can simulate the complex dynamics of the Chicago quantum network, enabling us to investigate and optimize network parameters such as entanglement generation, quantum memory, as well as routing protocols. Preliminary analysis of key performance metrics, including entanglement generation rates and quantum memory efficiency, will be presented. *Results* Initial fidelity of memories begins near 0.85 but increases over time due to purification processes in the simulator. Most memories achieve a fidelity above the 0.9 threshold, meeting the desired quality for long-distance entanglement. *Conclusions* The SeQUeNCe simulator performs as intended, enabling long-distance entanglement through effective memory generation, swapping, and purification. This simulation highlights a viable approach to setting up networks for generating long-distance entanglement, a critical component for quantum communication and networking. Purification techniques are effective in enhancing fidelity, ensuring reliable quantum operations. *Future Directions* Expand the simulation to include additional routers and nodes, testing the limits of entanglement generation and fidelity maintenance in larger quantum networks. Investigate how increasing the number of memories per node impacts overall performance and resource consumption.
Faculty Advisor: Dr. Thomas Searles, tsearles@uic.edu
Role: Integration of Code with SeQUeNCe - I worked on combining code from Jupyter notebooks into the SeQUeNCe quantum simulator, enabling simulations of the Chicago metropolitan quantum network. Hardware and Protocol Analysis - I investigated the effects of hardware factors, such as quantum memory and classical control message latency, aligns with the analysis described in the abstract. This includes studying throughput, entanglement generation rates, and quantum memory efficiency. Parameter Optimization - I contributed to the optimization of network parameters like entanglement generation, routing protocols, and the use of quantum memories.