NVIDIA’s CUDA-Q Platform Speeds Up Quantum Computing Centers Globally

nVidia has just made a significant announcement in the field of Quantum Computing. The tech giant will be collaborating with national supercomputing centers in Germany, Japan, and Poland to accelerate quantum computing efforts using the open-source NVIDIA CUDA-Q platform. This platform will power the quantum processing units (QPUs) inside these centers’ high-performance computing systems.

Quantum computers are known for their ability to perform calculations differently from traditional processors by leveraging the behavior of particles such as electrons or photons. This unique approach has the potential to speed up certain types of calculations. The Jülich Supercomputing Centre (JSC) in Germany, for example, will be integrating a QPU built by IQM Quantum Computers into its JUPITER supercomputer, which is already enhanced by the NVIDIA GH200 Grace Hopper Superchip.

In Japan, the National Institute of Advanced Industrial Science and Technology (AIST) will be utilizing the NVIDIA Hopper architecture to power its ABCI-Q supercomputer, which aims to advance the nation’s quantum computing initiative. The system will be equipped with a QPU from QuEra. Meanwhile, Poland’s Poznan Supercomputing and Networking Center (PSNC) has recently installed two photonic QPUs built by ORCA Computing. These QPUs are connected to a new supercomputer partition accelerated by NVIDIA Hopper.

According to Tim Costa, Director of Quantum and HPC at NVIDIA, “Useful quantum computing will be enabled by the tight integration of quantum with GPU supercomputing.” NVIDIA’s quantum computing platform is expected to empower pioneers like AIST, JSC, and PSNC to push the boundaries of scientific discovery and advance the state of the art in quantum-integrated supercomputing.

The integration of QPUs with ABCI-Q will allow researchers at AIST to explore quantum applications in various fields such as AI, energy, and biology. They will be utilizing Rubidium atoms controlled by laser light as qubits to perform calculations. These atoms are identical, making them a promising avenue for achieving a large-scale, high-fidelity quantum processor. Masahiro Horibe, Deputy Director of G-QuAT/AIST, believes that NVIDIA’s collaboration will help Japanese researchers make progress towards practical quantum computing applications.

At PSNC, the QPUs will enable researchers to delve into biology, chemistry, and machine learning using two PT-1 quantum photonics systems. These systems utilize single photons at telecom frequencies as qubits, allowing for a distributed, scalable, and modular quantum architecture using standard telecom components. Krzysztof Kurowski, CTO and Deputy Director of PSNC, expressed excitement about the collaboration with ORCA and NVIDIA, stating that it opens up possibilities for a new generation of quantum-accelerated supercomputers.

JSC researchers, on the other hand, will leverage the QPU integrated with JUPITER to develop quantum applications for chemical simulations, optimization problems, and to demonstrate how classical supercomputers can be accelerated by quantum computers. This particular QPU is built with superconducting qubits, or electronic resonant circuits, that behave as artificial atoms at low temperatures. Kristel Michielsen, Head of the Quantum Information Processing Group at JSC, believes that their ongoing collaboration with NVIDIA will advance the fields of quantum computing, chemistry, and material science.

By tightly integrating quantum computers with supercomputers, the CUDA-Q platform also enables quantum computing with AI. This integration is particularly useful in solving problems related to noisy qubits and developing efficient algorithms. CUDA-Q is an open-source and QPU-agnostic quantum-classical accelerated supercomputing platform that is widely adopted by companies deploying QPUs due to its best-in-class performance.

NVIDIA’s collaboration with these national supercomputing centers marks a significant step forward in the field of quantum computing. By combining the power of quantum and classical computing, researchers and scientists will be able to explore new frontiers and drive innovation in various scientific disciplines.

Background Information

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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

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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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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.

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