In a significant stride for hybrid quantum-classical computing, Quantum Machines has showcased a comprehensive NVIDIA CUDA-Q program operating seamlessly across live qubits and a classical PPU processor. This was made possible through the NVIDIA NVQLink, marking a novel approach in the development of hybrid applications. The demonstration unites Quantum Machines’ advanced quantum control technology with NVIDIA’s CUDA-Q platform, specifically designed for quantum-GPU computing, and the NVQLink architecture, which facilitates a high-speed connection between quantum controllers and enhanced computing systems.
This integration empowers developers to craft quantum applications using familiar programming languages like Python, C++, or QUA, bypassing the need to manually construct the low-level control sequences traditionally necessary for quantum hardware. In the demonstration, code written with CUDA-Q was executed through Quantum Machines’ control stack across a quantum processor, GPUs, and CPUs, with the system adeptly routing different workload segments to the appropriate processor. The NVIDIA NVQLink ensures swift communication between the quantum processor and classical computing resources, achieving a complete exchange in roughly one microsecond.
During IEEE Quantum Week in Toronto, Quantum Machines is presenting this cutting-edge technology, allowing researchers and engineers to witness the system’s operation with live quantum hardware. Yonatan Cohen, CTO of Quantum Machines, emphasized the longstanding collaboration with NVIDIA, expressing satisfaction in seeing these technologies coalesce to accelerate the progress toward large-scale quantum computing. By integrating NVIDIA NVQLink into its Quantum Machines Orchestration Platform, the company has connected the hardware responsible for managing and reading qubits with NVIDIA’s accelerated computing through a low-latency link.
The integration aims to simplify the use of quantum processors (QPUs), which traditionally demand specialized programming and control expertise. By functioning more like just another computing resource within a broader system, QPUs can now work in concert with CPUs and GPUs. According to Sam Stanwyck, Director of Quantum Product at NVIDIA, the transformative potential of quantum processors is realized when they operate closely with GPUs and CPUs as part of a single, unified quantum supercomputing system.
This low-latency connection is crucial for workloads necessitating rapid interaction between quantum and classical processors. Measurement data can be swiftly relayed to classical processors, with processing decisions returned to the quantum control system within microseconds. Such capabilities are poised to support future applications requiring real-time quantum-classical coordination, including quantum error correction and other advanced quantum computing tasks. Quantum Machines and NVIDIA continue to push the envelope in developing low-latency connections between quantum processors and accelerated computing systems, with this latest demonstration paving the way for more accessible and scalable quantum computing solutions.
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