Pawsey and Quantum Brilliance create hybrid workflow accelerated by NVIDIA

Pawsey Supercomputing Research Centre and Quantum Brilliance announced a significant breakthrough in quantum computing integration on Monday, developing a tightly integrated hybrid workflow that combines GPU, CPU and quantum processing capabilities.

Led by Dr Pascal Elahi and the Pawsey quantum team, the new system provides a practical path toward incorporating quantum computing into real-world applications, according to a statement from the organisations.

The workflow dynamically deploys Quantum Brilliance’s virtual Quantum Processing Unit (vQPU) alongside traditional and accelerated computing resources, offering researchers a flexible pathway to explore quantum computing applications.

Powered by NVIDIA GH200 Grace Hopper Superchips hosted at Pawsey, the system is designed to be hardware-agnostic.

“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,” said Dr Elahi.

“Previous approaches focused on quantum algorithms in isolation, but real-world problems require seamless integration of multiple computing technologies.”

The hybrid workflow functions like a universal translator for computing resources, enabling different types of processors to work together on complex problems. A key feature is its ability to communicate with both virtual and physical quantum computers using the same method and easily integrate with high performance computing clusters.

Quantum Brilliance’s vQPU provides a low-barrier entry to quantum computing by realistically emulating the user experience of physical quantum processors with tens of qubits.

“By successfully integrating our virtual QPU into Pawsey’s workflow, we’re demonstrating that quantum computing is not just theoretical – it is set to become a practical tool for solving real-world problems,” said Andrea Tabacchini, VP of Quantum Solutions at Quantum Brilliance.

Key applications include radio astronomy data processing, artificial intelligence workflows, and bioinformatics, where hybrid quantum-classical computing can accelerate computational tasks.

Picture: credit LinkedIn