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Quantum Machines has demonstrated an end-to-end workflow using NVIDIA's CUDA-Q platform to orchestrate tasks across live qubits, GPUs, and CPUs without manual low-level coding. By automating the routing between classical and quantum processors via NVQLink, this integration significantly lowers the barrier for developers to build hybrid applications and accelerates the path toward scalable quantum deployments.
Sources coveringThe Quantum Insider, LessWrong, Quantum Frontiers, foreignpolicyjournal.com
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Quantum Machines Makes Quantum Computers Easier to Program With NVIDIA CUDA-Q And NVQLink

The Quantum Insider4 min read

Insider Brief PRESS RELEASE — Quantum Machines, a leading provider of advanced quantum control solutions, today became the first control company to run an end-to-end NVIDIA CUDA-Q program across live qubits and a PPU classical processor with NVIDIA NVQLink. CUDA-Q is NVIDIA’s open platform for quantum-GPU supercomputing, providing a way of writing instructions that both a classical computer and a quantum computer can follow. […]

Quantum Machines ran an end-to-end NVIDIA CUDA-Q program across live qubits, GPUs and CPUs using NVIDIA NVQLink. The demonstration used a single program to route quantum and classical tasks to the appropriate processors without requiring developers to hand-code low-level control sequences. The system exchanged measurements and control decisions in microseconds, supporting the real-time processing needed for tasks such as quantum error correction. PRESS RELEASE — Quantum…

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