In the rapidly evolving field of quantum computing, entanglement distribution plays a crucial role, transcending beyond distributed quantum computing to enable quantum key distribution and advanced quantum sensing. My research focuses on the critical task of modeling and optimizing these entanglement distribution networks. We are tackling the inherent challenges of quantum entanglement management, aiming to significantly improve the efficiency and scalability of quantum networks. This research is not just about theoretical advancement; it's about practical solutions that will facilitate more robust quantum communications and sensing technologies, potentially revolutionizing how we approach information security and data analysis in a quantum-enabled future.
The scaling limitations of single quantum processors have become a significant barrier in quantum computing. This has shifted the focus to distributed quantum computing, where multiple quantum computers are linked to collectively execute complex quantum circuits. My research is centered on this paradigm shift, specifically addressing the modeling and optimization of resource allocation within these distributed systems. We are developing strategies to optimally allocate resources among interconnected quantum processors, thereby enhancing their collective computational power. This research is critical in addressing the scalability issues and error rates that currently hinder quantum computing. By refining the execution of quantum circuits across distributed networks, we are paving the way for more practical and efficient quantum computing solutions. The implications of this research extend beyond academic interest, offering insights into the real-world feasibility of large-scale quantum computations, a crucial step towards the widespread adoption of quantum computing technologies.
Valls, V., Promponas, P., & Tassiulas, L. On the Capacity of the Quantum Switch with and without Entanglement Decoherence. IEEE Communications Letters.
Promponas, P., Valls, V., & Tassiulas, L. Full Exploitation of Limited Memory in Quantum Entanglement Switching. In 2023 IFIP Networking.
Promponas, P., Valls, V., & Tassiulas, L. Quantum Switch Scheduling for Information Qubits. Workshop on Quantum Systems and Computation, SIGMETRICS '23.