Provably optimal, low‑latency SDQN orchestration across heterogeneous hardware

Develop provably optimal, AI‑driven resource‑orchestration algorithms for Software‑Defined Quantum Networking (SDQN) that can react within microsecond‑level latency bounds imposed by the latency–coherence gap, while coordinating heterogeneous quantum hardware through the Quantum Network Operating System (QNOS).

Background

The tutorial argues that a logically centralized SDQN control plane, supported by a QNOS abstraction layer, is required to orchestrate entanglement generation, routing, purification, and scheduling across heterogeneous quantum memories and links. Unlike classical SDN, quantum operations are probabilistic and perishable, and the classical control loop must execute within strict coherence-time budgets.

To move beyond heuristic control, the paper calls for provably optimal orchestration capable of meeting microsecond‑scale timing constraints that arise from the latency–coherence gap, especially in multi‑tenant, cross‑layer scenarios spanning diverse hardware modalities.