CESGA and Qoro Quantum

Qoro Quantum partnered with the Galician Supercomputing Centre (CESGA) to demonstrate scalable, distributed quantum circuit simulations using high-performance computing (HPC) systems

The pilot focused on implementing hybrid quantum-classical algorithms, specifically the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA)

Qoro’s Divi application layer automated the orchestration and parallelization of quantum workloads across CESGA’s distributed QPU simulation framework, CUNQA

CESGA’s CUNQA emulator provided a modular testbed for simulating distributed quantum processing unit (QPU) environments with adjustable topologies and noise models

The pilot modeled a hydrogen molecule using VQE with Hartree-Fock and Unitary Coupled Cluster Singles and Doubles ansätze, generating 6,000 circuits in 0.51 seconds

QAOA was used to solve Max-Cut problems, simulating 21,375 circuits in 15.44 seconds and 2,850 circuits in 2.13 seconds, demonstrating scalability and efficiency

The Divi platform enabled high-throughput quantum experimentation with minimal code (15 lines), automating data collection and analysis

The pilot validated the feasibility of executing hybrid quantum-classical algorithms across multiple HPC nodes, significantly boosting speed without extensive manual setup

Qoro’s orchestration platform ensured flawless communication between the simulated QPU infrastructure and the application layer

The experiment demonstrated how existing HPC infrastructure can handle future quantum workloads by simulating distributed quantum architectures

The project received funding from the European Union and the Spanish Ministry for Digital Transformation as part of the Quantum Spain initiative

The findings will guide the development of distributed quantum systems, facilitating the broader adoption of quantum computing in classical HPC environments

For more details visit Govindhtech.com