Control and orchestration of hybrid quantum datacenter and HPC infrastructures
Valeriu Marian Moldovan
Hybrid quantum datacentres are advancing rapidly, and yet most of the efforts are pointing to hardware development, while the software layer that orchestrates classical and quantum resources remains underdeveloped. This thesis designs and implements a state aware hybrid orchestrator that receives workload requests and places them into the designated cluster. The orchestrator is built as a set of REST services organised into NorthBound, allocation, resource and Southbound blocks. The classical cluster is deployed on an OpenStack environment using DevStack, while the quantum cluster is emulated by quantum agents. Two placement algorithms are implemented, First Fit and Load Balancing. Both operate over both clusters, they filter and select the corresponding node that suits the logic of the algorithm. Every allocation is persisted so the system recovers the status after a restart. A natural language entry layer was also implemented, combining retrieval augmentation generation with a large language model, converting the entry into a validated typed schema and routing to the appropriate tier, while a dashboard exposes the full pipeline and the live infrastructure state with role based visibility. The system was evaluated under identical 100 request campaigns using a mock backend that enables large scale testing without saturating the physical laboratory. Load Balancing increased the number of successful allocations by 19.15 per cent over First Fit, an advantage concentrated in the RAM constrained classical tier, and the natural language layer reached a routing accuracy of 96.8 per cent. The results confirm that a natural language interface can drive an orchestrator reliably. The main limitations are the emulated quantum cluster and a single classical laboratory deployment, future work includes integrating a real quantum backend, adding authentication to the dashboard, and introducing time aware resource release.
•Jul 13, 2026•0 citations