Almost 3 years ago we told you that quantum computing will be the technology of the 2020s. NVIDIA wants to take a giant step in quantum computing by justifying us. Quantum computing technology awaits us in the near future, potentially promising major advances in fields such as pharmaceuticals, electric vehicle engineering, investment and more.

But realistically, most of the apps used to enable such developments are 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 that run on classical computing infrastructure. But right now, there’s one piece of the puzzle missing:

But NVIDIA has a problem to overcome.

There is currently no way for most high-performance computer developers to accelerate their existing applications with quantum computers. To solve this problem, NVIDIA has, between traditional computers and quantum processors It offers a new platform called QODA (Quantum Optimized Device Architecture) that will create a unified and open environment.

QODA includes a programming model and compiler tools that enable quantum acceleration of today’s scientific computing applications. That is, QODA is associated with programming models of programming models and tools, and with the applications of today’s scientific developers. with the programming languages ​​they currently use A program designed to work together.

NVIDIA does not manufacture quantum processors, it creates the classic GPU supercomputing infrastructure that will work in a hybrid way with quantum processors. Therefore, the QODA platform will be an open platform. NVIDIA is doing this together with leading quantum computer hardware companies and software companies. in collaboration with research institutions Is building. What do you think? Please don’t forget to share your thoughts with us in the comments.