Qoro Quantum and the Galician Supercomputing Center (CESGA) have successfully completed a two-week pilot project demonstrating scalable, distributed quantum circuit simulations using CESGA’s QMIO infrastructure and the distributed quantum emulator CUNQA. The collaboration focused on running parallelized versions of the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA) using Qoro’s orchestration platform and CESGA’s high-performance computing (HPC) resources. Integration between the systems was seamless, with Qoro’s Divi software automating algorithm parallelization and scheduling workloads across ten HPC nodes, showing that complex quantum simulations can run efficiently in distributed environments.
In the VQE use case, Qoro simulated hydrogen molecules using UCCSD and Hartree-Fock ansätze over 20 bond lengths, executing 6,000 circuits in parallel with results returned in just 0.51 seconds. For QAOA, the team tackled a Max-Cut problem on a 150-node graph, executing up to 21,375 circuits in 15.44 seconds, with the quantum-classical cut size ratio improving to 0.65 under higher sampling. These tests highlighted how distributed simulation accelerates parameter space exploration and improves solution quality, even with minimal code overhead—fewer than 20 lines per workflow—demonstrating practicality for near-term quantum applications.
The collaboration underscores the promise of hybrid classical-quantum architectures in real-world problem solving. CUNQA, developed under the Quantum Spain project and supported by NextGenerationEU and Spain’s Ministry for Digital Transformation, enables emulation of distributed quantum systems, providing a critical testbed. Qoro Quantum’s middleware positions the company to support scalable, real-time quantum-classical orchestration, paving the way for integration with future physical quantum processing units.
Read more in Qoro’s collaboration summary with CESGA here. Also, visit CUNQA’s official repository here.
May 6, 2025
