NVIDIA Expedites Quantum Computing Research at Australia’s Pawsey Supercomputing Center

NVIDIA and the Pawsey Supercomputing Research Centre in Australia are collaborating to integrate the CUDA Quantum platform and NVIDIA Grace Hopper Superchip into their National Supercomputing and Quantum Computing Innovation Hub, aiming to drive advancements in quantum computing and facilitate discoveries in the field.

The collaboration between NVIDIA and the Pawsey Supercomputing Research Centre will drive advancements in quantum computing and pave the way for discoveries in the field.
The use of CUDA Quantum, an open-source hybrid quantum computing platform, will provide researchers with robust simulation tools and the ability to program hybrid CPU, GPU, and QPU systems.
The NVIDIA Grace Hopper Superchip, which combines the power of NVIDIA's Grace CPU and Hopper GPU architectures, will enable high-fidelity and scalable quantum simulations and seamlessly interface with future quantum hardware infrastructure.

nVidia has made an exciting announcement today, revealing that the Pawsey Supercomputing Research Centre in Australia will be incorporating the NVIDIA CUDA Quantum platform into its National Supercomputing and Quantum Computing Innovation Hub. This collaboration aims to drive advancements in quantum computing and pave the way for discoveries in the field.

The Pawsey Supercomputing Research Centre, based in Perth, will utilize CUDA Quantum, an open-source hybrid quantum computing platform that offers robust simulation tools and the ability to program hybrid CPU, GPU, and QPU systems. Additionally, researchers will have access to the NVIDIA cuQuantum software development kit, which provides optimized libraries and tools for accelerating quantum computing workflows.

One of the key components of this collaboration is the NVIDIA Grace Hopper Superchip. This superchip combines the power of NVIDIA’s Grace CPU and Hopper GPU architectures to deliver exceptional performance. It enables high-fidelity and scalable quantum simulations on accelerators and seamlessly interfaces with future quantum hardware infrastructure.

Tim Costa, the director of HPC and quantum computing at NVIDIA, emphasized the importance of high-performance simulation in addressing the challenges of quantum computing. He stated, “CUDA Quantum, together with the NVIDIA Grace Hopper Superchip, allows innovators such as Pawsey Supercomputing Research Centre to achieve these essential breakthroughs and accelerate the timeline to useful quantum-integrated supercomputing.”

Mark Stickells, executive director at the Pawsey Supercomputing Research Centre, expressed his enthusiasm for the collaboration, highlighting its potential impact on scientific exploration not only in Australia but also worldwide. He said, “NVIDIA’s CUDA Quantum platform will allow our scientists to push the boundaries of what’s possible in quantum computing research.”

The significance of quantum computing extends beyond scientific exploration. CSIRO, Australia’s national science agency, estimates that the domestic market opportunity for quantum computing could generate $2.5 billion in annual revenue and create 10,000 new jobs by 2040. To achieve this, quantum computing needs to be integrated into various scientific domains, including astronomy, life sciences, medicine, and finance.

At Pawsey, the NVIDIA Grace Hopper Superchip nodes will be deployed to run quantum workloads directly from traditional high-performance computing systems. This approach maximizes processing power and enables the development of hybrid algorithms that intelligently divide calculations into classical and quantum kernels, improving computing efficiency. Researchers at Pawsey will explore quantum machine learning, chemistry simulations, image processing for radio astronomy, financial analysis, bioinformatics, and specialized quantum simulators, starting with various quantum variational algorithms.

The deployment of eight NVIDIA Grace Hopper Superchip nodes at Pawsey is based on NVIDIA’s MGX modular architecture. These GH200 Superchips eliminate the need for a traditional CPU-to-GPU PCIe connection by combining an ARM-based NVIDIA Grace CPU with an NVIDIA H100 Tensor Core GPU in the same package. This integration is made possible by NVIDIA NVLink-C2C chip interconnects, which increase the bandwidth between the GPU and CPU by 7x compared to the latest PCIe technology. The result is up to 10x higher performance for applications handling terabytes of data, empowering quantum-classical researchers to tackle the world’s most complex problems.

Pawsey’s commitment extends beyond its own research. The center aims to make the NVIDIA Grace Hopper platform accessible to the Australian quantum community and its international partners, fostering collaboration and driving advancements in quantum computing on a global scale.

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Background Information

About ARM:

ARM, originally known as Acorn RISC Machine, is a British semiconductor and software design company that specializes in creating energy-efficient microprocessors, system-on-chip (SoC) designs, and related technologies. Founded in 1990, ARM has become a important player in the global semiconductor industry and is widely recognized for its contributions to mobile computing, embedded systems, and Internet of Things (IoT) devices. ARM's microprocessor designs are based on the Reduced Instruction Set Computing (RISC) architecture, which prioritizes simplicity and efficiency in instruction execution. This approach has enabled ARM to produce highly efficient and power-saving processors that are used in a vast array of devices, ranging from smartphones and tablets to IoT devices, smart TVs, and more. The company does not manufacture its own chips but licenses its processor designs and intellectual property to a wide range of manufacturers, including Qualcomm, Apple, Samsung, and NVIDIA, who then integrate ARM's technology into their own SoCs. This licensing model has contributed to ARM's widespread adoption and influence across various industries.

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

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Technology Explained

CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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HPC: HPC, or High Performance Computing, is a type of technology that allows computers to perform complex calculations and process large amounts of data at incredibly high speeds. This is achieved through the use of specialized hardware and software, such as supercomputers and parallel processing techniques. In the computer industry, HPC has a wide range of applications, from weather forecasting and scientific research to financial modeling and artificial intelligence. It enables researchers and businesses to tackle complex problems and analyze vast amounts of data in a fraction of the time it would take with traditional computing methods. HPC has revolutionized the way we approach data analysis and has opened up new possibilities for innovation and discovery in various fields.

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PCIe: PCIe (Peripheral Component Interconnect Express) is a high-speed serial computer expansion bus standard for connecting components such as graphics cards, sound cards, and network cards to a motherboard. It is the most widely used interface in the computer industry today, and is used in both desktop and laptop computers. PCIe is capable of providing up to 16 times the bandwidth of the older PCI standard, allowing for faster data transfer speeds and improved performance. It is also used in a variety of other applications, such as storage, networking, and communications. PCIe is an essential component of modern computing, and its applications are only expected to grow in the future.

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Quantum Computing: Quantum computing is a type of advanced computing that takes advantage of the strange behaviors of very small particles. It's like having a supercharged computer that can solve incredibly complex problems much faster than regular computers. It does this by using special "bits" that can be both 0 and 1 at the same time, which allows it to process information in a very unique way. This technology has the potential to make a big impact in areas like data security and solving really tough scientific challenges, but there are still some technical hurdles to overcome before it becomes widely useful.