Insider Temporary
- Supercomputing websites in Germany, Japan and Poland will use open-source NVIDIA CUDA-Q™ platform to energy quantum processing models inside their high-performance computing methods.
- By integrating quantum computer systems with supercomputers, CUDA-Q additionally permits quantum computing with AI to unravel issues similar to noisy qubits.
- CUDA-Q is an open-source and QPU-agnostic quantum-classical accelerated supercomputing platform.
PRESS RELEASE — NVIDIA at the moment introduced that it’ll speed up quantum computing efforts at nationwide supercomputing facilities all over the world with the open-source NVIDIA CUDA-Q™ platform.
Supercomputing websites in Germany, Japan and Poland will use the platform to energy the quantum processing models (QPUs) inside their NVIDIA-accelerated high-performance computing methods.
QPUs are the brains of quantum computer systems that use the habits of particles like electrons or photons to calculate in another way than conventional processors, with the potential to make sure varieties of calculations sooner.
Germany’s Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich is putting in a QPU constructed by IQM Quantum Computer systems as a complement to its JUPITER supercomputer, supercharged by the NVIDIA GH200 Grace Hopper™ Superchip.
The ABCI-Q supercomputer, situated on the Nationwide Institute of Superior Industrial Science and Expertise (AIST) in Japan, is designed to advance the nation’s quantum computing initiative. Powered by the NVIDIA Hopper™ structure, the system will add a QPU from QuEra.
Poland’s Poznan Supercomputing and Networking Middle (PSNC) has lately put in two photonic QPUs, constructed by ORCA Computing, related to a brand new supercomputer partition accelerated by NVIDIA Hopper.
“Helpful quantum computing can be enabled by the tight integration of quantum with GPU supercomputing,” stated Tim Costa, director of quantum and HPC at NVIDIA. “NVIDIA’s quantum computing platform equips pioneers similar to AIST, JSC and PSNC to push the boundaries of scientific discovery and advance the state-of-the-art in quantum-integrated supercomputing.”
The QPU built-in with ABCI-Q will allow researchers at AIST to analyze quantum functions in AI, power and biology, using Rubidium atoms managed by laser gentle as qubits to carry out calculations. These are the identical kind of atoms utilized in precision atomic clocks. Every atom is equivalent, offering a promising methodology of reaching a large-scale, high-fidelity quantum processor.
“Japan’s researchers will make progress towards sensible quantum computing functions with the ABCI-Q quantum-classical accelerated supercomputer,” stated Masahiro Horibe, deputy director of G-QuAT/AIST. “NVIDIA helps these pioneers push the boundaries of quantum computing analysis.”
PSNC’s QPUs will allow researchers to discover biology, chemistry and machine studying with two PT-1 quantum photonics methods. The methods use single photons, or packets of sunshine, at telecom frequencies as qubits. This enables for a distributed, scalable and modular quantum structure utilizing customary, off-the-shelf telecom elements.
“Our collaboration with ORCA and NVIDIA has allowed us to create a singular setting and construct a brand new quantum-classical hybrid system at PSNC,” stated Krzysztof Kurowski, CTO and deputy director of PSNC. “The open, simple integration and programming of a number of QPUs and GPUs effectively managed by user-centric companies is crucial for builders and customers. This shut collaboration paves the best way for a brand new technology of quantum-accelerated supercomputers for a lot of modern utility areas, not tomorrow, however at the moment.”
The QPU built-in with JUPITER will allow JSC researchers to develop quantum functions for chemical simulations and optimization issues in addition to show how classical supercomputers could be accelerated by quantum computer systems. It’s constructed with superconducting qubits, or digital resonant circuits, that may be manufactured to behave as synthetic atoms at low temperatures.
“Quantum computing is being introduced nearer by hybrid quantum-classical accelerated supercomputing,” stated Kristel Michielsen, head of the quantum data processing group at JSC. “By means of our ongoing collaboration with NVIDIA, JSC’s researchers will advance the fields of quantum computing in addition to chemistry and materials science.”
By tightly integrating quantum computer systems with supercomputers, CUDA-Q additionally permits quantum computing with AI to unravel issues similar to noisy qubits and develop environment friendly algorithms.
CUDA-Q is an open-source and QPU-agnostic quantum-classical accelerated supercomputing platform. It’s utilized by nearly all of the businesses deploying QPUs and delivers best-in-class efficiency.
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Insider Temporary
- Supercomputing websites in Germany, Japan and Poland will use open-source NVIDIA CUDA-Q™ platform to energy quantum processing models inside their high-performance computing methods.
- By integrating quantum computer systems with supercomputers, CUDA-Q additionally permits quantum computing with AI to unravel issues similar to noisy qubits.
- CUDA-Q is an open-source and QPU-agnostic quantum-classical accelerated supercomputing platform.
PRESS RELEASE — NVIDIA at the moment introduced that it’ll speed up quantum computing efforts at nationwide supercomputing facilities all over the world with the open-source NVIDIA CUDA-Q™ platform.
Supercomputing websites in Germany, Japan and Poland will use the platform to energy the quantum processing models (QPUs) inside their NVIDIA-accelerated high-performance computing methods.
QPUs are the brains of quantum computer systems that use the habits of particles like electrons or photons to calculate in another way than conventional processors, with the potential to make sure varieties of calculations sooner.
Germany’s Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich is putting in a QPU constructed by IQM Quantum Computer systems as a complement to its JUPITER supercomputer, supercharged by the NVIDIA GH200 Grace Hopper™ Superchip.
The ABCI-Q supercomputer, situated on the Nationwide Institute of Superior Industrial Science and Expertise (AIST) in Japan, is designed to advance the nation’s quantum computing initiative. Powered by the NVIDIA Hopper™ structure, the system will add a QPU from QuEra.
Poland’s Poznan Supercomputing and Networking Middle (PSNC) has lately put in two photonic QPUs, constructed by ORCA Computing, related to a brand new supercomputer partition accelerated by NVIDIA Hopper.
“Helpful quantum computing can be enabled by the tight integration of quantum with GPU supercomputing,” stated Tim Costa, director of quantum and HPC at NVIDIA. “NVIDIA’s quantum computing platform equips pioneers similar to AIST, JSC and PSNC to push the boundaries of scientific discovery and advance the state-of-the-art in quantum-integrated supercomputing.”
The QPU built-in with ABCI-Q will allow researchers at AIST to analyze quantum functions in AI, power and biology, using Rubidium atoms managed by laser gentle as qubits to carry out calculations. These are the identical kind of atoms utilized in precision atomic clocks. Every atom is equivalent, offering a promising methodology of reaching a large-scale, high-fidelity quantum processor.
“Japan’s researchers will make progress towards sensible quantum computing functions with the ABCI-Q quantum-classical accelerated supercomputer,” stated Masahiro Horibe, deputy director of G-QuAT/AIST. “NVIDIA helps these pioneers push the boundaries of quantum computing analysis.”
PSNC’s QPUs will allow researchers to discover biology, chemistry and machine studying with two PT-1 quantum photonics methods. The methods use single photons, or packets of sunshine, at telecom frequencies as qubits. This enables for a distributed, scalable and modular quantum structure utilizing customary, off-the-shelf telecom elements.
“Our collaboration with ORCA and NVIDIA has allowed us to create a singular setting and construct a brand new quantum-classical hybrid system at PSNC,” stated Krzysztof Kurowski, CTO and deputy director of PSNC. “The open, simple integration and programming of a number of QPUs and GPUs effectively managed by user-centric companies is crucial for builders and customers. This shut collaboration paves the best way for a brand new technology of quantum-accelerated supercomputers for a lot of modern utility areas, not tomorrow, however at the moment.”
The QPU built-in with JUPITER will allow JSC researchers to develop quantum functions for chemical simulations and optimization issues in addition to show how classical supercomputers could be accelerated by quantum computer systems. It’s constructed with superconducting qubits, or digital resonant circuits, that may be manufactured to behave as synthetic atoms at low temperatures.
“Quantum computing is being introduced nearer by hybrid quantum-classical accelerated supercomputing,” stated Kristel Michielsen, head of the quantum data processing group at JSC. “By means of our ongoing collaboration with NVIDIA, JSC’s researchers will advance the fields of quantum computing in addition to chemistry and materials science.”
By tightly integrating quantum computer systems with supercomputers, CUDA-Q additionally permits quantum computing with AI to unravel issues similar to noisy qubits and develop environment friendly algorithms.
CUDA-Q is an open-source and QPU-agnostic quantum-classical accelerated supercomputing platform. It’s utilized by nearly all of the businesses deploying QPUs and delivers best-in-class efficiency.
