CIO Influence
IT and DevOps

NVIDIA Boosts Quantum Computing at Australia’s Pawsey Supercomputing Centre

NVIDIA Boosts Quantum Computing at Australia’s Pawsey Supercomputing Centre

Researchers will utilize cutting-edge quantum computing simulations powered by NVIDIA CUDA Quantum Platform and enhanced by NVIDIA Grace Hopper Superchips.

Australia’s Pawsey Supercomputing Research Centre is set to elevate its National Supercomputing and Quantum Computing Innovation Hub with NVIDIA’s latest advancements. NVIDIA has unveiled that the center will integrate the NVIDIA CUDA Quantum platform, accelerated by the cutting-edge NVIDIA Grace Hopper™ Superchips. This collaboration aims to propel quantum computing breakthroughs.

The Pawsey Centre, based in Perth, will harness the power of CUDA Quantum, an open-source hybrid quantum computing platform boasting robust simulation tools. This platform facilitates programming across hybrid CPU, GPU, and QPU systems. Additionally, researchers will utilize the NVIDIA cuQuantum software development kit, which offers optimized libraries and tools for expediting quantum computing workflows.

The centerpiece of this partnership is the NVIDIA Grace Hopper Superchip, a groundbreaking fusion of the NVIDIA Grace CPU and Hopper GPU architectures. This innovative chip promises unparalleled performance, empowering high-fidelity and scalable quantum simulations on accelerators. Moreover, it ensures seamless integration with forthcoming quantum hardware infrastructure.

This strategic collaboration aligns with the vision outlined by Australia’s national science agency, CSIRO (Commonwealth Scientific and Industrial Research Organisation). CSIRO estimates the domestic market potential from quantum computing to reach $2.5 billion in annual revenue by 2040, potentially creating 10,000 new jobs. To realize this ambitious goal, quantum computing must permeate various scientific domains, spanning astronomy, life sciences, medicine, finance, and beyond.

“High-performance simulation is essential for researchers to address the biggest challenges in quantum computing — from algorithm discovery and device design to the invention of powerful methods for error correction, calibration, and control. 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.”TIM COSTA, director of HPC and quantum computing at NVIDIA

Advancing Quantum Computing Capabilities at Pawsey Supercomputing Research Centre

Pawsey Supercomputing Research Centre is embarking on an ambitious endeavor to harness the potential of quantum computing. The center will integrate the system to execute quantum workloads directly from conventional high-performance computing systems. This entails developing hybrid algorithms that intelligently partition computations into classical and quantum kernels, leveraging the quantum device to enhance computing efficiency.

Various applications such as quantum machine learning, chemistry simulations, radio astronomy image processing, financial analysis, bioinformatics, and specialized quantum simulators will be explored. The initiative will commence with the implementation of diverse quantum variational algorithms.

Pawsey’s infrastructure enhancement involves the deployment of eight NVIDIA Grace Hopper Superchip nodes, which are based on NVIDIA MGX™ modular architecture. These GH200 Superchips revolutionize conventional CPU-to-GPU connectivity by integrating an Arm-based NVIDIA Grace™ CPU with an NVIDIA H100 Tensor Core GPU within the same package. This integration is facilitated by NVIDIA NVLink™-C2C chip interconnects, significantly boosting the bandwidth between GPU and CPU by 7x compared to the latest PCIe technology.

The utilization of GH200 Superchips promises up to 10x higher performance for applications processing terabytes of data. This empowers quantum-classical researchers with unprecedented computational power to tackle the world’s most intricate challenges.

Pawsey Supercomputing Research Centre is committed to democratizing access to the NVIDIA Grace Hopper platform, making it available to the Australian quantum community and international partners, fostering collaborative advancements in quantum computing research and applications.

FAQs

1. What are the key components of NVIDIA’s CUDA Quantum platform?

The CUDA Quantum platform is an open-source hybrid quantum computing platform with robust simulation tools and capabilities to program hybrid CPU, GPU, and QPU systems. Additionally, researchers will have access to the NVIDIA cuQuantum software development kit for optimizing quantum computing workflows.

2. What distinguishes the NVIDIA Grace Hopper Superchip in quantum computing simulations?

The NVIDIA Grace Hopper Superchip integrates NVIDIA Grace CPU and Hopper GPU architectures, offering exceptional performance for high-fidelity and scalable quantum simulations. It enables researchers to run complex quantum workloads efficiently and interface seamlessly with future quantum hardware infrastructure.

3. How does Pawsey Supercomputing Research Centre plan to utilize NVIDIA’s quantum computing technology?

Pawsey will leverage the CUDA Quantum platform to run quantum workloads directly from traditional high-performance computing systems. This involves developing hybrid algorithms that intelligently partition computations into classical and quantum kernels, thereby enhancing computing efficiency. The center will focus on various applications, including quantum machine learning, chemistry simulations, and image processing for radio astronomy, among others.

4. What benefits does the integration of NVIDIA Grace Hopper Superchip nodes bring to Pawsey’s quantum research initiatives?

Pawsey is deploying eight NVIDIA Grace Hopper Superchip nodes, eliminating the need for traditional CPU-to-GPU PCIe connections. These nodes leverage NVIDIA MGX™ modular architecture and NVIDIA NVLink™-C2C chip interconnects to significantly increase bandwidth between GPU and CPU, resulting in up to 10x higher performance for applications handling terabytes of data.

[To share your insights with us as part of editorial or sponsored content, please write to sghosh@martechseries.com]

Related posts

Dell Technologies and VMware Facilitate Improved IT Agility for Munich Re

CIO Influence News Desk

Loft Labs Launches New Open-Source Project DevPod For Dev-Environments-As-Code On Any Infrastructure

GlobeNewswire

An Expert Discussion on Zero Trust

CIO Influence News Desk