NVIDIA collaborates with Google Quantum AI to enhance quantum device design using accelerated simulations on the CUDA-Q platform.
Quiver AI Summary
NVIDIA has announced a collaboration with Google Quantum AI to enhance the design of next-generation quantum computing devices by utilizing simulations on the NVIDIA CUDA-Q™ platform. This partnership aims to address the challenges of "noise" in quantum computing hardware, which limits the number of quantum operations that can be performed. By leveraging the hybrid quantum-classical computing platform and the NVIDIA Eos supercomputer, Google can run complex dynamical simulations of quantum processors more efficiently than ever before. This development allows for faster simulations, enabling researchers to analyze the performance of quantum chips with up to 40 qubits while significantly reducing computational costs. NVIDIA's CUDA-Q platform will provide the simulation tools to quantum hardware engineers, promoting the scalability of their designs and advancing the potential of quantum computing in solving real-world problems.
Potential Positives
- NVIDIA is collaborating with Google Quantum AI, a major player in the quantum computing field, which enhances its credibility and visibility in the quantum technology market.
- The partnership leverages NVIDIA's advanced CUDA-Q platform and Eos supercomputer, showcasing NVIDIA's leadership in AI supercomputing and quantum simulations.
- The ability to perform large and fast simulations of quantum devices at a fraction of the cost could attract further partnerships and customers, driving future revenue growth.
- The public availability of the software powering these simulations empowers quantum hardware engineers, expanding the ecosystem around NVIDIA's technologies and potentially increasing demand for its products.
Potential Negatives
- Significant reliance on third parties for manufacturing and potential supply chain issues could impact NVIDIA's ability to deliver products timely.
- The forward-looking nature of the statements suggests uncertainty in performance and potential challenges in market acceptance of their technologies.
- The mention of “noise” in quantum computing indicates ongoing technical challenges that NVIDIA is still working to overcome, potentially diminishing confidence in their current offerings.
FAQ
What is NVIDIA's collaboration with Google Quantum AI about?
NVIDIA is partnering with Google Quantum AI to speed up the design of next-gen quantum computing devices using the CUDA-Q platform and simulations.
How does the CUDA-Q platform improve quantum computing simulations?
The CUDA-Q platform enables faster simulations of quantum devices, using 1,024 NVIDIA H100 Tensor Core GPUs, reducing simulation time from weeks to minutes.
What challenges in quantum computing does this collaboration aim to address?
This collaboration seeks to overcome noise limitations in quantum hardware, allowing for larger and more accurate quantum chip designs.
What specific advancements can be expected from this partnership?
It is expected to result in the largest simulations of quantum devices, capable of managing systems with up to 40 qubits efficiently.
How will the CUDA-Q platform benefit quantum hardware engineers?
The CUDA-Q platform will provide publicly available software for engineers, enabling quicker scaling of their quantum system designs.
Disclaimer: This is an AI-generated summary of a press release distributed by GlobeNewswire. The model used to summarize this release may make mistakes. See the full release here.
$NVDA Congressional Stock Trading
Members of Congress have traded $NVDA stock 23 times in the past 6 months. Of those trades, 13 have been purchases and 10 have been sales.
Here’s a breakdown of recent trading of $NVDA stock by members of Congress over the last 6 months:
- REPRESENTATIVE PETE SESSIONS has traded it 4 times. They made 3 purchases worth up to $45,000 on 11/01, 09/16, 09/10 and 1 sale worth up to $100,000 on 05/21.
- REPRESENTATIVE THOMAS R. SUOZZI has traded it 3 times. They made 1 purchase worth up to $50,000 on 10/24 and 2 sales worth up to $65,000 on 10/24, 10/02.
- REPRESENTATIVE JOSH GOTTHEIMER has traded it 2 times. They made 1 purchase worth up to $15,000 on 06/28 and 1 sale worth up to $15,000 on 10/17.
- REPRESENTATIVE JOHN JAMES sold up to $15,000 on 09/04.
- REPRESENTATIVE MARJORIE TAYLOR GREENE has traded it 2 times. They made 2 purchases worth up to $30,000 on 09/03, 08/21 and 0 sales.
- REPRESENTATIVE NANCY PELOSI has traded it 2 times. They made 2 purchases worth up to $10,000,000 on 07/26, 06/26 and 0 sales.
- REPRESENTATIVE JARED MOSKOWITZ has traded it 2 times. They made 2 purchases worth up to $30,000 on 07/05 and 0 sales.
- REPRESENTATIVE KATHY E. MANNING has traded it 3 times. They made 0 purchases and 3 sales worth up to $80,000 on 07/02.
- REPRESENTATIVE GREG LANDSMAN has traded it 2 times. They made 0 purchases and 2 sales worth up to $65,000 on 06/03, 05/29.
- REPRESENTATIVE MORGAN MCGARVEY purchased up to $15,000 on 05/31.
- REPRESENTATIVE STEPHEN F. LYNCH purchased up to $15,000 on 05/22.
To track congressional stock trading, check out Quiver Quantitative's congressional trading dashboard.
$NVDA Insider Trading Activity
$NVDA insiders have traded $NVDA stock on the open market 517 times in the past 6 months. Of those trades, 0 have been purchases and 517 have been sales.
Here’s a breakdown of recent trading of $NVDA stock by insiders over the last 6 months:
- MARK A STEVENS has traded it 18 times. They made 0 purchases and 18 sales, selling 1,948,632 shares.
- COLETTE KRESS (EVP & Chief Financial Officer) has traded it 24 times. They made 0 purchases and 24 sales, selling 366,670 shares.
- DONALD F JR ROBERTSON (Principal Accounting Officer) has traded it 4 times. They made 0 purchases and 4 sales, selling 9,000 shares.
- TENCH COXE has traded it 7 times. They made 0 purchases and 7 sales, selling 2,100,000 shares.
- JEN HSUN HUANG (President and CEO) has traded it 343 times. They made 0 purchases and 343 sales, selling 6,000,000 shares.
- AJAY K PURI (EVP, Worldwide Field Ops) has traded it 5 times. They made 0 purchases and 5 sales, selling 100,110 shares.
- DEBORA SHOQUIST (EVP, Operations) has traded it 78 times. They made 0 purchases and 78 sales, selling 41,140 shares.
- DAWN E HUDSON has traded it 5 times. They made 0 purchases and 5 sales, selling 25,000 shares.
- MICHAEL G MCCAFFERY has traded it 31 times. They made 0 purchases and 31 sales, selling 3,936 shares.
- A BROOKE SEAWELL sold 1,438 shares.
- JOHN DABIRI sold 198 shares.
To track insider transactions, check out Quiver Quantitative's insider trading dashboard.
$NVDA Hedge Fund Activity
We have seen 2,424 institutional investors add shares of $NVDA stock to their portfolio, and 1,798 decrease their positions in their most recent quarter.
Here are some of the largest recent moves:
- GQG PARTNERS LLC removed 64,596,211 shares (-85.4%) from their portfolio in Q3 2024
- INTERNATIONAL ASSETS INVESTMENT MANAGEMENT, LLC added 55,859,917 shares (+12898.6%) to their portfolio in Q3 2024
- FMR LLC removed 46,189,661 shares (-4.4%) from their portfolio in Q3 2024
- BANK OF AMERICA CORP /DE/ added 39,169,586 shares (+19.0%) to their portfolio in Q3 2024
- PRICE T ROWE ASSOCIATES INC /MD/ removed 36,974,039 shares (-8.3%) from their portfolio in Q3 2024
- STATE STREET CORP removed 35,750,704 shares (-3.6%) from their portfolio in Q3 2024
- SCHWAB CHARITABLE FUND added 33,945,040 shares (+inf%) to their portfolio in Q2 2024
To track hedge funds' stock portfolios, check out Quiver Quantitative's institutional holdings dashboard.
Full Release
ATLANTA, Nov. 18, 2024 (GLOBE NEWSWIRE) -- SC24 -- NVIDIA today announced it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by the NVIDIA CUDA-Q ™ platform.
Google Quantum AI is using the hybrid quantum-classical computing platform and the NVIDIA Eos supercomputer to simulate the physics of its quantum processors. This will help overcome the current limitations of quantum computing hardware, which can only run a certain number of quantum operations before computations must cease, due to what researchers call “noise.”
“The development of commercially useful quantum computers is only possible if we can scale up quantum hardware while keeping noise in check,” said Guifre Vidal, research scientist from Google Quantum AI. “Using NVIDIA accelerated computing, we’re exploring the noise implications of increasingly larger quantum chip designs.”
Understanding noise in quantum hardware designs requires complex dynamical simulations capable of fully capturing how qubits within a quantum processor interact with their environment.
These simulations have traditionally been prohibitively computationally expensive to pursue. Using the CUDA-Q platform, however, Google can employ 1,024 NVIDIA H100 Tensor Core GPUs at the NVIDIA Eos supercomputer to perform one of the world’s largest and fastest dynamical simulation of quantum devices — at a fraction of the cost.
“AI supercomputing power will be helpful to quantum computing’s success,” said Tim Costa, director of quantum and HPC at NVIDIA. “Google’s use of the CUDA-Q platform demonstrates the central role GPU-accelerated simulations have in advancing quantum computing to help solve real-world problems.”
With CUDA-Q and H100 GPUs, Google can perform fully comprehensive, realistic simulations of devices containing 40 qubits — the largest-performed simulations of this kind. The simulation techniques provided by CUDA-Q mean noisy simulations that would have taken a week can now run in minutes.
The software powering these accelerated dynamic simulations will be publicly available in the CUDA-Q platform, allowing quantum hardware engineers to rapidly scale their system designs.
About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing.
For further information, contact:
Cliff Edwards
NVIDIA Corporation
+1-415-699-2755
cliffe@nvidia.com
Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, and performance of NVIDIA’s products, services, and technologies, including NVIDIA CUDA-Q platform, NVIDIA Eos supercomputer, and NVIDIA H100 Tensor Core GPUs; Google using our products and technologies, the benefits and impact thereof, and the features, performance and availability of its offerings; and AI supercomputing power being helpful to quantum computing’s success 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.
Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.
© 2024 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo and CUDA-Q 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.
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