We develop the software , protocols and AI that will enable secure, intelligent and scalable quantum networks. The solutions are intended for network designers and network operators, software developers, quantum computing industry, large system planners like 7G networks, government and defense, banking institutions, and large data banks.
Solutions include: Quantum sensing protocol optimization including multi-parameter estimation in centralized and distributed sensor network, quantum measurements, QUANTUM NETWORKS SYNCHRONIZATION including topology-dependent nonlinear quantum synchronization, network stability, Laplacian-guided actuator design for quantum network synchronization, actuator synthesis in imperfect quantum networks, adaptive entanglement-aware routing in multi-hop quantum networks, QUANTUM NETWORK ROUTING including adaptive routing for quantum networks, learning-augmented routing, congestion control for entanglement distribution, multi-flow quantum networks, a layered framework for entanglement access control in quantum networks QUANTUM TRANSPORT LAYER PROTOCOL including distributed and hierarchical quantum routing for large-scale networks, latency–decoherence tradeoffs in proactive entanglement distribution, distributed entanglement scheduling in multi-domain quantum networks, federated learning for quantum network state prediction, distributed QTCP with federated learning over time-varying topology-aware multi-domain quantum networks QUANTUM PROTOCOL STACK OPTIMIZATION including structure of optimal full-stack policies, distributed learning-based joint optimization of quantum network protocol stacks, learning-driven predictive cross-layer optimization, belief-aware predictive cross-layer optimization, QUANTUM NETWORK CONTROL including topology-aware predictive control in networked quantum systems, learning-augmented predictive control in time-varying quantum networks, study of fundamental limits of information-constrained quantum networking with predictive control, study of QUANTUM NETWORK CAPACITY including Holevo capacity in imperfect quantum networks , Holevo capacity in imperfect quantum networks with error correction, topology-aware adaptive quantum error correction for time-varying quantum networks QUANTUM NETWORK ON GRAPH including Entanglement graph reconfiguration under noise, topology aware entanglement graph reconfiguration in time varying quantum networks QUANTUM NETWORK INTELLIGENCE including cognitive control of time-varying topology for adaptive quantum networks, heavy-traffic limits for adaptive quantum networks with dynamic topology control, learning–congestion tradeoffs in dynamic quantum networks, network control experience management, experience-state management, designing network intelligence, modeling the network thinking process, distributed experience-state management for multi-domain quantum communication networks