The company is making it easier to develop code for quantum machines using GPUs.
Well, not directly. However, the company is making it easier to develop code for quantum machines using GPUs.
Ok, let's face it. Programming quantum computers is hard. REALLY hard. While we do not expect NVIDIA to develop and market their own quantum system any time soon , the company is helping developers use GPU’s to simplify the coding task.NVIDIA believes a “bridging” technology can help enable dynamic workflows across different architectures, with CPUs, GPUs, and quantum devices providing a hybrid quantum-classical computer platform.
For the programmer who wants to do algorithm research and build hybrid applications for future quantum advantage, a bridging technology is needed to enable dynamic workflows across disparate system architectures. The NVIDIA Quantum-Optimized Device Architecture is a first-of-its-kind platform for hybrid quantum-classical computers, using CPUs, GPUs, and emulated QPUs to efficiently mimic how a hardware QPU would behave in a programmed situation....
“QODA consists of both a specification and a compiler NVQ++. It delivers a unified programming model designed for quantum processors in a hybrid setting—that is, CPUs, GPUs, and QPUs working together,” said the company.
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