Quantum Machines has successfully showcased a complete NVIDIA CUDA-Q program operating on live qubits and a classical PPU processor using NVIDIA NVQLink. This marks a significant step forward in developing hybrid quantum-classical applications. By merging Quantum Machines’ quantum control technology with NVIDIA’s CUDA-Q platform for quantum-GPU computing and the NVQLink architecture, a high-speed connection between quantum controllers and accelerated computing systems is established. This integration enables developers to write quantum applications in programming languages like Python, C++, or QUA without needing to manually create the complex low-level control sequences typically required for quantum hardware.
The demonstration executed code written with CUDA-Q across a quantum processor, GPUs, and CPUs through Quantum Machines’ control stack. This system automatically assigns different parts of a workload to the most suitable processor. Thanks to NVIDIA NVQLink, a rapid communication pathway between the quantum processor and classical computing resources is enabled, completing the entire exchange in roughly one microsecond. This innovative technology is being displayed at IEEE Quantum Week in Toronto, offering researchers and engineers the opportunity to observe its operation with live quantum hardware. Yonatan Cohen, CTO of Quantum Machines, expressed excitement over the collaboration with NVIDIA, noting its potential to expedite the progress toward large-scale quantum computing.
The integration of quantum processors (QPUs) with CPUs and GPUs is aimed at transforming them into part of a unified quantum supercomputing system. Quantum processors have traditionally required specialized programming and control expertise. Sam Stanwyck, Director of Quantum Product at NVIDIA, highlighted that QPUs are most transformative when paired closely with GPUs and CPUs. Quantum Machines has incorporated NVIDIA NVQLink into its Orchestration Platform, establishing a low-latency connection between the hardware managing qubit control and NVIDIA’s accelerated computing.
Developers using CUDA-Q can execute quantum operations on the QPU while utilizing CPUs and GPUs for classical processing in real-time. Quantum Machines’ control system then translates these operations into precisely timed signals to control and measure the qubits. The low-latency connection is crucial for workloads necessitating quick interaction between quantum and classical processors, enabling measurement data to be swiftly relayed to classical processors and processing decisions returned to the quantum control system within microseconds. This capability is expected to support future applications that require real-time quantum-classical coordination, such as quantum error correction and other advanced quantum computing workloads.
In collaboration, Quantum Machines and NVIDIA continue to enhance low-latency connections between quantum processors and accelerated computing systems. This latest demonstration is part of their efforts to make quantum computing more accessible and scalable, paving the way for future advancements in the field.
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