Almost 3 years ago, we told you that quantum computing will be the technology of the 2020s. NVIDIA aims to take a giant step in quantum computing by justifying us. Quantum computing technology awaits us in the near future and potentially promises great advances in fields such as pharmaceuticals, electric vehicle engineering, investment and more.
But realistically, many of the applications used to power such advances will not rely solely on quantum computing. They will likely use hybrid quantum-classical computing, along with some algorithms optimized for quantum computing and algorithms running on classical computing infrastructure. But right now there is a missing piece of the puzzle:
But NVIDIA has a problem to overcome.
There is currently no way for most high-performance computing developers to speed up their existing applications with quantum computers. To overcome this problem, NVIDIA is introducing a new platform called QODA (Quantum Optimized Device Architecture) that will create a unified and open environment between traditional computers and quantum processors.
QODA includes a programming model and compiler tools that enable quantum acceleration of today’s scientific computing applications. In other words, QODA is a program developed to work with the programming models of the programming model and tools and the programming languages that today’s scientific developers are already using in their applications.
NVIDIA is not producing quantum processors, it is creating the classical GPU supercomputing infrastructure that will work with quantum processors in a hybrid way. Therefore, the QODA platform will be an open platform. NVIDIA is building it in collaboration with leading quantum computing hardware companies and software companies, as well as research institutions. What are you thinking? Please do not forget to share your thoughts with us in the comments.
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