PhD-Forum: QuBind: A Multi-Metric Approach for Optimal Quantum Service Selection

QuBind is a multi‑metric optimization framework for quantum service selection. It combines a constraint‑based matcher with a configurable optimizer that balances metrics such as fidelity, cost, and execution time, enabling adaptive and context‑aware decision‑making for efficient orchestration of quantum services across diverse providers.

Mannaging LLM over-/under-utlisation via user input regulation via oversubscription.