Nvidia unveils QODA for hybrid quantum-classical computing

Nvidia has introduced Quantum Optimized Device Architecture (QODA), a platform for hybrid quantum-classical computing that is intended to make quantum computing more accessible.

Introduced July 12, QODA provides a coherent hybrid quantum-classical programming model, Nvidia said. The platform enables integration and programming of quantum processing units (QPUs), GPUs, and CPUs in one system, allowing HPC and AI experts to add quantum computing to existing applications.

QODA applications can leverage current quantum processors, simulated future quantum machines using Nvidia DGX systems, and Nvidia GPUs. A unified, kernel-based programming model extends C++ and Python for hybrid quantum-classical systems. Other QODA features include:

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