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This demonstration marks a significant milestone in heterogeneous computing by enabling end-to-end execution of NVIDIA CUDA-Q programs across live qubits and classical processors via NVQLink. The integration abstracts low-level hardware control, allowing developers to use standard languages like Python and C++ while routing tasks seamlessly between GPUs, CPUs, and PPUs within microseconds. This convergence suggests that future quantum supercomputers will rely on tightly coupled architectures rather than isolated quantum accelerators.

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Quantum Machines runs NVIDIA code on live qubits with NVQLink

Quantum ZeitgeistSeptember 14, 20264 min read

Quantum Machines demonstrated an end-to-end NVIDIA CUDA-Q program on live qubits, utilizing NVQLink for seamless integration with PPUs and GPUs.

September 2026 marks the first time a control company has run an end-to-end NVIDIA CUDA-Q program across live qubits and a Quantum Machines Pulse Processing Unit classical processor with NVIDIA NVQLink. This demonstration showcases a fully integrated quantum-classical workflow, completing the full exchange in approximately one millionth of a second. The advance simplifies quantum programming by allowing developers to utilize familiar languages like Python and C++, eliminating the need for specialized low-level hardware control. “We have been working closely…

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