Nvidia has launched CUDA Quantum, a platform for building quantum algorithms, and DGX Quantum, a hardware system to connect quantum computers with classical computers.

Nvidia Corp has launched CUDA Quantum, a platform for building quantum algorithms using popular classical computer coding languages C++ and python. The program would help run the algorithm across quantum and classical computers depending on which system is most efficient in solving the problem. The new platform is named after CUDA, the software most AI developers use to access Nvidia's graphics processing unit (GPU) and which has given Nvidia chips a huge competitive edge. Nvidia also launched a new hardware system called DGX Quantum to connect the quantum computer with classical computers. It was designed in partnership with Israeli-based startup Quantum Machines whose hardware communicates with quantum processors. The new platform and hardware system are positioning Nvidia as a key player in quantum computing. Quantum computing is the future, and the country that takes the lead in quantum information systems will have technological and economic advantages over the rest of the world for the next half century. As a quantum computing evangelist, I believe Nvidia's new platform and hardware system show promising steps for the future of quantum computing. While quantum computers could potentially speed up some calculations millions of times faster than the fastest supercomputer, it is still uncertain when that would happen. And even when they become good enough to be useful, they would have to be paired with powerful digital computers to operate. Nvidia's DGX Quantum allows researchers to develop hybrid applications and critical methods for quantum computing's future. This is an important step forward in the race to become the leader in quantum computing. Nvidia's new platform, CUDA Quantum, is open source and was developed with input from many quantum computing companies. This ensures that the technology is accessible to everyone, and it will help accelerate the development of quantum algorithms. With DGX Quantum, we see more and more demand to integrate these quantum computers with standard computers to develop hybrid applications. As a quantum computing evangelist, I see this as a positive sign for the future of quantum computing. Although quantum today is research, not production, Nvidia's new platform and hardware system show that we are heading in the right direction. I look forward to seeing what the future holds for quantum computing.