Quantum Brilliance and the Pawsey Supercomputing Research Centre have announced a new hybrid workflow designed to integrate quantum computing with high-performance computing (HPC) systems.
Announced on 10 March 2025, the development facilitates the integration of traditional computing resources with quantum processors, offering a scalable framework for quantum computing exploration.
The workflow incorporates Quantum Brilliance’s virtual Quantum Processing Unit (vQPU) alongside CPU and GPU resources, leveraging NVIDIA GH200 Grace Hopper Superchips hosted at Pawsey.
According to Quantum Brilliance, the system is designed to be hardware-agnostic, functioning as a universal translator for computing resources and simplifying integration with HPC clusters through tools such as the SLURM job scheduler.
Dr Pascal Elahi, Quantum Team Lead at Pawsey, described the workflow as a means of harmonizing quantum and classical computing.
“What we’ve developed is essentially a conductor for a technological orchestra, where quantum and classical computers can work in harmony to solve complex problems,” he said, adding that the approach moves beyond isolated quantum algorithm development toward broader computational integration.
Quantum Brilliance stated that the vQPU provides a scalable and accessible entry point to quantum computing, emulating the behavior of physical quantum processors while allowing researchers to test algorithms under conditions that mimic real-world constraints.
“By successfully integrating our virtual QPU into Pawsey’s workflow, we’re demonstrating that quantum computing is moving from theoretical to practical applications,” said Andrea Tabacchini, vice president of Quantum Solutions at Quantum Brilliance.
NVIDIA highlighted the role of accelerated computing in advancing quantum applications. “NVIDIA collaborates with innovators like Quantum Brilliance and Pawsey Supercomputing Research Centre to bring us closer to running useful quantum applications,” said Sam Stanwyck, Group Product Manager for Quantum Computing at NVIDIA.
According to Quantum Brilliance, potential applications for the hybrid workflow include radio astronomy data processing, artificial intelligence, and bioinformatics.
The next phase of development will focus on deploying the system on Pawsey’s Setonix supercomputer using a physical quantum computer.
The company stated that by integrating quantum and classical computing resources, the technology supports ongoing research and exploration of quantum-enhanced problem-solving.
