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Qoro Quantum And CESGA For Distributed Quantum Simulation

Qoro Quantum

Qoro Quantum and CESGA represent distributed quantum circuits with high-performance computing. Using Qoro Quantum's orchestration software and CESGA's CUNQA emulator, a test study showed scalable, distributed quantum circuit simulations over 10 HPC nodes. To assess distributed VQE and QAOA implementations, Qoro's Divi software built and scheduled thousands of quantum circuits for simulation on CESGA's infrastructure.

VQE and QAOA workloads finished in less than a second, demonstrating that high-throughput quantum algorithm simulations may be done with little code and efficient resources.

The pilot proved that distributed emulators like CUNQA can prepare HPC systems for large-scale quantum computing deployments by validating hybrid quantum-classical operations.

A pilot research from the Galician Supercomputing Centre (CESGA) and Qoro Quantum reveals how high-performance computing platforms may facilitate scalable, distributed quantum circuit simulations. A Qoro Quantum release said the two-week collaboration involved implementing Qoro's middleware orchestration platform to execute distributed versions of the variational quantum eigensolver and quantum approximate optimisation algorithm across CESGA's QMIO infrastructure.

Quantum Workload Integration and HPC Systems

Qoro's Divi quantum application layer automates hybrid quantum-classical algorithm orchestration and parallelisation. Divi created and ran quantum workloads on 10 HPC nodes using CESGA's CUNQA distributed QPU simulation framework for the pilot.

The announcement states that CESGA's modular testbed CUNQA mimics distributed QPU settings with customisable topologies and noise models. Qoro's technology might simulate quantum workloads in a multi-node setup to meet the demands of emerging hybrid quantum-HPC systems.

Everything worked perfectly, communication went well, and end-to-end functionality worked as intended.

Comparing QAOA and VQE in Distributed HPC

The variational hybrid approach VQE is used to estimate the ground-state energy of quantum systems, a major problem in quantum chemistry. Qoro and CESGA modelled a hydrogen molecule using two ansätze Hartree-Fock and Unitary Coupled Cluster Singles and Doubles in this pilot. Divi made 6,000 VQE circuits based on 20 bond length values.

With 10 computational nodes, the CUNQA emulator investigated the ansatz parameter space via Monte Carlo optimisation. Qoro says it replicated full demand in 0.51 seconds. Data collected automatically and returned for analysis show that the platform can enable high-throughput testing with only 15 lines of Divi code.

The researchers also evaluated QAOA, a quantum-classical technique for Max-Cut and combinatorial optimisation. This data clustering, circuit design, and logistics challenge involves partitioning a graph to maximise edges between two subgroups.

A 150-node network was partitioned into 15 clusters for simulation, and Qoro's Divi software built Monte Carlo parameterised circuits.Tests included 21,375 circuits in 15.44 seconds and 2,850 circuits in 2.13 seconds. The quantum-classical cut size ratio grew from 0.51 to 0.65 with sample size. The CUNQA emulator ran all circuits in parallel again utilising CESGA's architecture.

Performance, Infrastructure, and Prospects

Several pilot research results demonstrate scalable hybrid quantum computing advances. According to the Qoro Quantum release, Qoro's orchestration platform and CESGA's distributed quantum emulator provided faultless communication between the simulated QPU infrastructure and application layer. The cooperation also demonstrated how Qoro's Divi software could automatically generate and plan enormous quantum workloads, simplifying complex quantum applications.

The experiment also shown that distributed execution of hybrid quantum-classical algorithms over several HPC nodes may enhance performance without much human setup. Finally, the pilot showed key technological elements for scaling quantum workloads in high-performance computing. These insights will inform future distributed quantum system design.

Simulating distributed quantum architectures shows how HPC infrastructure might manage future quantum workloads. Qoro Quantum and CESGA plan to improve this method to enable quantum computing in large classical contexts.

CUNQA is being established as part of Quantum Spain with EU and Spanish Ministry for Digital Transformation support. ERDF_REACT EU funded this project's QMIO infrastructure for COVID-19 response.