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

Mohamed Abdel-Kareem
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Quantum Machines Demonstrates Live End-to-End CUDA-Q Program Execution via NVIDIA NVQLink Quantum control hardware provider Quantum Machines has demonstrated live end-to-end execution of an NVIDIA CUDA-Q program across a physical quantum processing unit (QPU), classical GPUs, and a Pulse Processing Unit (PPU) controller via NVIDIA NVQLink. Announced at IEEE Quantum Week 2026 in Toronto, the integration provides microsecond-speed deterministic interconnectivity between Quantum Machines’ OPX control stack and NVIDIA GPU supercomputing nodes.
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Quantum Machines Demonstrates Live End-to-End CUDA-Q Program Execution via NVIDIA NVQLink Quantum control hardware provider Quantum Machines has demonstrated live end-to-end execution of an NVIDIA CUDA-Q program across a physical quantum processing unit (QPU), classical GPUs, and a Pulse Processing Unit (PPU) controller via NVIDIA NVQLink. Announced at IEEE Quantum Week 2026 in Toronto, the integration provides microsecond-speed deterministic interconnectivity between Quantum Machines’ OPX control stack and NVIDIA GPU supercomputing nodes. The demonstration establishes a unified hybrid control architecture where applications written in CUDA-Q are compiled and routed dynamically across CPU, GPU, and QPU layers without requiring manual low-level pulse orchestration. By integrating NVQLink directly into the Quantum Machines Orchestration Platform, measurement telemetry is transmitted from qubit readout electronics to GPU classical nodes and returned to the PPU within microsecond latency windows, fulfilling a core operational requirement for real-time quantum error correction (QEC) feedback loops and hybrid variational algorithms. [ Quantum Machines & NVIDIA NVQLink Integration Architecture ]System LayerIntegrated TechnologyOperational Performance & FunctionProgramming & Compilation• NVIDIA CUDA-Q Open Platform• Native Compilation of QPU/GPU Workloads• High-Level Abstraction (Python, C++, QUA)Interconnect Architecture• NVIDIA NVQLink Low-Latency Link• Microsecond-Scale Inter-Processor Data Exchange• Real-Time Readout Routing to Classical GPUsQPU Control Hardware• QM Orchestration Platform & PPU• Deterministic Pulse Synthesis & Measurement• Dynamic QEC Feedback Loop Execution The milestone demonstrates the operational transition of QPU control stacks from custom low-level pulse engineering toward standardized supercomputing interfaces. The integration builds on Quantum Machines’ hardware orchestration roadmap, including its commercial agreement with Qubic for low-noise cryogenic amplifiers and its ongoing support for multi-modality QPU architectures across enterprise and national laboratory deployments. Review the official news release via Quantum Machines here and examine our previous analysis of Quantum Machines’ Commercial Agreement with Qubic here. September 14, 2026 Mohamed Abdel-Kareem2026-09-14T19:19:12-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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Source: Quantum Computing Report

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