The security and speed of future communication systems rely heavily on quantum protocols. My work translates theoretical concepts into practical network designs:
Quantum Key Distribution (QKD) Modeling: Developing realistic channel models that incorporate atmospheric turbulence and fiber loss to optimize QKD performance and security parameters.
Quantum Repeaters: Investigating the optimal placement and resource allocation for quantum repeaters to maintain entanglement across continental distances, focusing on minimizing required memory and gate overhead.
Network-Level Schemes: Analyzing flow control and scheduling algorithms within a quantum internet to manage resource contention and ensure quality of service (QoS) for various quantum applications.
Quantum computation is inherently modular, requiring reliable networking of smaller processors. My research addresses the challenges of scaling by investigating how to build robust, distributed systems:
Entanglement Routing and Sharing: Developing efficient protocols for generating and distributing high-fidelity entanglement between distant nodes, essential for both distributed computation and secure communication.
Decoherence and Topology: Studying how the physical layout (topology) of quantum channels and the effects of decoherence (noise) impact the overall stability and performance of large-scale quantum networks.
Distributed Sensing and Control: Designing architectures that utilize network resources for enhanced distributed quantum sensing applications, achieving precision beyond what is possible with single nodes.
Successful quantum systems require tight integration between theory and engineering. I focus on bridging this gap across diverse physical platforms, including superconducting circuits and ion traps:
Modular Qubit Design: Proposing and simulating novel coupling mechanisms (e.g., using tunable couplers, trapping fields, or photonic interfaces) to create highly coherent, scalable quantum modules.
Physical-Layer Constraints: Linking measured physical constraints (like coherence times, cross-talk, and gate fidelity) directly to the requirements of higher-level error correction and communication protocols.
Integration with Photonics: Studying hybrid architectures that utilize quantum computing elements for computation and photonic links for long-distance communication and entanglement distribution.