Partnership
At Qoro , we believe the future of quantum computing isn’t in isolated devices—it’s in orchestrated, scalable, hybrid systems that bring together classical HPC infrastructure and quantum resources. That’s why we’re excited to share the results of a recent pilot project with the Galicia Supercomputing Center (CESGA) (Quantum Technologies Hub), which marks a significant milestone in distributed quantum simulation.
Bridging Quantum and HPC
In a short technical collaboration, Qoro’s orchestration stack—including our algorithm automation engine Divi—was deployed towards and integrated with CESGA’s HPC infrastructure. Using their distributed quantum emulator platform CUNQA, we ran parallelized quantum workloads using two leading hybrid quantum-classical algorithms: the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA).
Our systems connected seamlessly. We demonstrated full-stack distributed quantum job execution—from workload generation to scheduling, simulation, and result aggregation.
Scaling Up Quantum Experiments
For the VQE experiment, we targeted a foundational problem in quantum chemistry: simulating the hydrogen molecule across a range of bond lengths. This required the evaluation of parameterized quantum circuits using both Hartree-Fock and UCCSD ansätze. Using Divi, we automatically generated 6,000 distinct quantum circuits and distributed them across 10 computing nodes in CESGA’s QMIO infrastructure. Each node executed a subset of the simulation using the CUNQA emulator. The entire batch completed in just 0.51 seconds, highlighting the speed-up potential of distributed quantum simulation when combined with automated orchestration. This enabled a side-by-side comparison of ansätze over a physical observable landscape with minimal developer input.
In the QAOA experiment, we tackled a 150-node Max-Cut graph optimization problem—a representative case for real-world logistics, clustering, and circuit design applications. We partitioned the graph into 15 clusters, then generated batches of parameterized circuits using Monte Carlo optimization. These were run across 10 nodes in CESGA’s HPC setup, again using CUNQA to emulate distributed QPUs. We ran two optimization scenarios: a lightweight batch with 2,850 circuits completed in 2.13 seconds, and a heavier batch of 21,375 circuits completed in 15.44 seconds. Crucially, solution quality scaled with sampling—improving from a quantum-classical cut size ratio of 0.51 to 0.65.
These results underscore not just the technical feasibility, but also the practicality of orchestrated quantum simulation. With fewer than 20 lines of code, we automated the end-to-end lifecycle of complex quantum workloads. Researchers can now test algorithm design decisions (e.g. ansatz type, optimizer, graph partitioning strategy) without worrying about infrastructure overhead.
A Glimpse at What’s Next
This pilot validates a foundational principle behind our platform: hybrid quantum-classical workflows can be made scalable, automated, and accessible—without users needing deep infrastructure expertise. It also shows the value of emulator platforms like CUNQA, which let us experiment today with architectures designed for tomorrow’s distributed quantum networks.
“In one day of setup, we were able to run meaningful simulations on a complex distributed system,” said Dr. Stephen DiAdamo, CTO. “It opens up many new opportunities for scalable quantum middleware.”
We’re already planning deeper integration with CESGA and other HPC centers. Our orchestration platform is designed to scale not just quantum experiments, but also the teams behind them.
We are developing an intelligent unified simulator interface called Maestro, to serve as an abstraction above matrix product state, state-vector, and tensor network (GPU accelerated) simulators. Watch this space for a new technique in scaling quantum simulator farms.
About the Partners
Qoro Quantum develops orchestration software for distributed quantum computing, making it possible to scale hybrid quantum-classical workloads across cloud and HPC environments.
CESGA is home to CUNQA, an emulator platform that enables development of distributed quantum algorithms ahead of widespread QPU deployment. The project is part of Spain’s national QuantumSpain initiative, with support from the EU’s NextGenerationEU recovery fund.
