We all know the role that NVIDIA plays in the graphics market. Probably many users also know that this company has been trading in artificial intelligence chips for years that reside on the servers where ChatGPT runs, among many other services. In fact, it now accounts for about 80% of this industry. But the company Jensen Huang runs also competes in other countries where it is more hidden.
One of them is the development of new lithographic technologies. In this regard, NVIDIA develops Hopper architecture GPUs and cuLitho software libraries from chipmakers to optimize the integration of technologies. His role in this industry has led him to work more closely with ASML and TSMC on a precise technological base that will enable the production of 2nm chips. But there is something else in which this company is involved and promises to have a lot to say: the amount of laughter.
With the error correction amount in the crosshairs
In an interview that he gave on March 21 to mark the opening of his event for developers, Jensen Huang talked about the cooperation with Quantum Machines. This Israeli company is specialized in the development of hardware and software for quantum computers, and together with NVIDIA, a low-latency, high-performance architecture that aims to promote the progress of quantum computing.
In this project, NVIDIA has contributed its own Hoppius CPU/GPU and the CUDA Quantum open programming model
NVIDIA has brought its Grace Hopper CPU/GPU system, a beast designed to run AI applications and provide free productivity in high-performance computing scenarios, as well as its open source CUDA Quantum programming model. His partner in this project, Quantum Machines, has overseen the integration and precision of the quantum platform, which, according to these two teams, is specifically designed to operate hybrid systems in which classical and quantum hardware coexist in harmony.
The proposed platform is called DGX Quantum, the hardware developed by these two companies, to help researchers working in the field of quantum computing to develop new quantum algorithms. It may seem surprising that quantum algorithms can be developed using classical hardware, but it is perfectly possible. In fact, this project contributes to quantum computing to many more researchers who can implement their ideas and prove that they do not need access to a prototype quantum computer, such as the one IBM is going to set up in San Sebastián (Spain).
However, the DGX Quantum platform is also used according to NVIDIA to calibrate quantum systems, control them, and also play a leading role in developing a correction system that allows quantum computers to correct their errors. Jensen Huang brought up this idea in his keynote last week, and it’s certainly a very attractive prospect. Too charming. And, as Ignacio Cirac explained in the conversation we had with him, correcting the error will give us the ability to solve really significant problems with quantum computers.
More information: NVIDIA
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