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This milestone establishes a unified hybrid control architecture that dynamically routes CUDA-Q applications across CPU, GPU, and QPU layers with microsecond latency. By eliminating manual low-level pulse orchestration, this integration enables real-time quantum error correction and hybrid variational algorithms essential for scaling near-term quantum workloads. The shift toward standardized supercomputing interfaces represents a critical step in operationalizing complex quantum-classical feedback loops.

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Quantum Machines Demonstrates Live End-to-End CUDA-Q Program Execution via NVIDIA NVQLink

Quantum Computing ReportSeptember 15, 20262 min read

Quantum Machines has successfully demonstrated the live, end-to-end execution of an NVIDIA CUDA-Q program across a physical QPU, classical GPUs, and a Pulse Processing Unit (PPU) controller using NVIDIA NVQLink. This integration, announced at IEEE Quantum Week 2026, establishes a unified hybrid control architecture that allows CUDA-Q applications to be compiled and routed dynamically across CPU, GPU, and QPU layers with microsecond latency, enabling real-time quantum error correction and hybrid variational algorithms. This marks a shift towards standardized supercomputing interfaces for QPU control stacks. The post Quantum Machines Demonstrates Live End-to-End CUDA-Q Program Execution via NVIDIA NVQLink appeared first on Quantum Computing Report.

Quantum control hardware provider Quantum Machines has demonstrated live end-to-end execution of an NVIDIA CUDA-Q program across a physical quantum processing…

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