Distributed Quantum Computing & Quantum Networks

I develop distributed quantum computing frameworks that treat entanglement, memory, interconnect topology, and classical orchestration as first-class resources. This includes quantum-as-a-service models, entanglement-aware scheduling, Byzantine-robust consensus, and resource orchestration for heterogeneous QPU networks.

Representative directions include:

• modular entanglement-hub architectures for scalable quantum–HPC systems;
• scheduling policies for non-local gates and distributed quantum neural networks;
• fault-aware consensus and detectable Byzantine agreement for quantum networks;
• application-level partitioning strategies for distributed QAOA and quantum machine learning.

Selected outputs: IEEE Internet Computing 2026, QCNC 2026, IEEE QCE 2025, QCNC 2025.