ISC -- NVIDIA today announced that it will
accelerate quantum computing efforts at national supercomputing
centers around the world with the open-source NVIDIA CUDA-Q™
platform.
Supercomputing sites in Germany, Japan and Poland will use the
platform to power the quantum processing units (QPUs) inside their
NVIDIA-accelerated high-performance computing systems.
QPUs are the brains of quantum computers that use the behavior
of particles like electrons or photons to calculate differently
than traditional processors, with the potential to make certain
types of calculations faster.
Germany’s Jülich Supercomputing Centre (JSC) at
Forschungszentrum Jülich is installing a QPU built by IQM Quantum
Computers as a complement to its JUPITER supercomputer,
supercharged by the NVIDIA GH200 Grace Hopper™ Superchip.
The ABCI-Q supercomputer, located at the National Institute of
Advanced Industrial Science and Technology (AIST) in Japan, is
designed to advance the nation’s quantum computing initiative.
Powered by the NVIDIA Hopper™ architecture, the system will add a
QPU from QuEra.
Poland’s Poznan Supercomputing and Networking Center (PSNC) has
recently installed two photonic QPUs, built by ORCA Computing,
connected to a new supercomputer partition accelerated by NVIDIA
Hopper.
“Useful quantum computing will be enabled by the tight
integration of quantum with GPU supercomputing,” said Tim Costa,
director of quantum and HPC at NVIDIA. “NVIDIA’s quantum computing
platform equips pioneers such as AIST, JSC and PSNC to push the
boundaries of scientific discovery and advance the state of the art
in quantum-integrated supercomputing.”
The QPU integrated with ABCI-Q will enable researchers at AIST
to investigate quantum applications in AI, energy and biology,
utilizing Rubidium atoms controlled by laser light as qubits to
perform calculations. These are the same type of atoms used in
precision atomic clocks. Each atom is identical, providing a
promising method of achieving a large-scale, high-fidelity quantum
processor.
“Japan’s researchers will make progress toward practical quantum
computing applications with the ABCI-Q quantum-classical
accelerated supercomputer,” said Masahiro Horibe, deputy director
of G-QuAT/AIST. “NVIDIA is helping these pioneers push the
boundaries of quantum computing research.”
PSNC’s QPUs will enable researchers to explore biology,
chemistry and machine learning with two PT-1 quantum photonics
systems. The systems use single photons, or packets of light, at
telecom frequencies as qubits. This allows for a distributed,
scalable and modular quantum architecture using standard,
off-the-shelf telecom components.
“Our collaboration with ORCA and NVIDIA has allowed us to create
a unique environment and build a new quantum-classical hybrid
system at PSNC,” said Krzysztof Kurowski, CTO and deputy director
of PSNC. “The open, easy integration and programming of multiple
QPUs and GPUs efficiently managed by user-centric services is
critical for developers and users. This close collaboration paves
the way for a new generation of quantum-accelerated supercomputers
for many innovative application areas, not tomorrow, but
today.”
The QPU integrated with JUPITER will enable JSC researchers to
develop quantum applications for chemical simulations and
optimization problems as well as demonstrate how classical
supercomputers can be accelerated by quantum computers. It is built
with superconducting qubits, or electronic resonant circuits, that
can be manufactured to behave as artificial atoms at low
temperatures.
“Quantum computing is being brought closer by hybrid
quantum-classical accelerated supercomputing,” said Kristel
Michielsen, head of the quantum information processing group at
JSC. “Through our ongoing collaboration with NVIDIA, JSC’s
researchers will advance the fields of quantum computing as well as
chemistry and material science.”
By tightly integrating quantum computers with supercomputers,
CUDA-Q also enables quantum computing with AI to solve problems
such as noisy qubits and develop efficient algorithms.
CUDA-Q is an open-source and QPU-agnostic quantum-classical
accelerated supercomputing platform. It is used by the majority of
the companies deploying QPUs and delivers best-in-class
performance.
About NVIDIANVIDIA (NASDAQ: NVDA) is the world
leader in accelerated computing.
For further information, contact:Alex
ShapiroPublic RelationsNVIDIA
Corporation+1-415-608-5044ashapiro@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: the benefits, impact, performance,
and availability of our products, services, and technologies,
including NVIDIA CUDA-Q platform, NVIDIA GH200 Grace Hopper
Superchip, and NVIDIA Hopper architecture; NVIDIA accelerating
quantum computing efforts at national supercomputing centers around
the world with the open-source NVIDIA CUDA-Q platform; third
parties using and adopting our technologies and products, our
collaboration with third parties and the benefits and impact
thereof, and the features, performance and availability of their
offerings; useful quantum computing being enabled by the tight
integration of quantum with GPU supercomputing; QPU integrated with
ABCI-Q enabling researchers at AIST to investigate quantum
applications in AI, energy and biology, utilizing Rubidium atoms
controlled by laser light as qubits to perform calculations; and
Japan’s researchers making progress toward practical quantum
computing applications with the ABCI-Q quantum-classical
accelerated supercomputer are forward-looking statements that are
subject to risks and uncertainties that could cause results to be
materially different than expectations. Important factors that
could cause actual results to differ materially include: global
economic conditions; our reliance on third parties to manufacture,
assemble, package and test our products; the impact of
technological development and competition; development of new
products and technologies or enhancements to our existing product
and technologies; market acceptance of our products or our
partners' products; design, manufacturing or software defects;
changes in consumer preferences or demands; changes in industry
standards and interfaces; unexpected loss of performance of our
products or technologies when integrated into systems; as well as
other factors detailed from time to time in the most recent reports
NVIDIA files with the Securities and Exchange Commission, or SEC,
including, but not limited to, its annual report on Form 10-K and
quarterly reports on Form 10-Q. Copies of reports filed with the
SEC are posted on the company's website and are available from
NVIDIA without charge. These forward-looking statements are not
guarantees of future performance and speak only as of the date
hereof, and, except as required by law, NVIDIA disclaims any
obligation to update these forward-looking statements to reflect
future events or circumstances.
© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the
NVIDIA logo, CUDA-Q, NVIDIA Grace Hopper and NVIDIA Hopper are
trademarks and/or registered trademarks of NVIDIA Corporation in
the U.S. and other countries. Other company and product names may
be trademarks of the respective companies with which they are
associated. Features, pricing, availability and specifications are
subject to change without notice.
A photo accompanying this announcement is available at
https://www.globenewswire.com/NewsRoom/AttachmentNg/0df090d5-4e2a-4748-9e10-6683744abef3
NVIDIA (NASDAQ:NVDA)
過去 株価チャート
から 4 2024 まで 5 2024
NVIDIA (NASDAQ:NVDA)
過去 株価チャート
から 5 2023 まで 5 2024