In a significant stride toward hybrid quantum-classical computing, Quantum Machines has demonstrated a full NVIDIA CUDA-Q program operating across live qubits and a classical PPU processor. This was achieved using NVIDIA NVQLink, marking a novel method for developing applications that integrate quantum and classical computing capabilities. The collaboration merges Quantum Machines’ advanced quantum control technology with NVIDIA’s CUDA-Q open platform, which is specifically designed for quantum-GPU computing, and NVQLink architecture, which facilitates high-speed connections between quantum controllers and accelerated computing systems.
This integration represents a pivotal step for developers, enabling them to create quantum applications using widely-known programming languages like Python, C++, or QUA. Traditionally, programming quantum hardware required manual creation of intricate low-level control sequences. In this demonstration, code crafted with CUDA-Q was executed via Quantum Machines’ control stack, spanning a quantum processor, GPUs, and CPUs. This system efficiently directs different segments of a workload to suitable processors, with NVIDIA NVQLink ensuring rapid communication between quantum processors and classical computing resources, achieving a complete exchange in nearly one microsecond.
The breakthrough is being showcased at IEEE Quantum Week in Toronto, where researchers and engineers have the opportunity to witness the system’s operation with live quantum hardware. Yonatan Cohen, CTO of Quantum Machines, expressed satisfaction with the collaboration, stating, “Quantum Machines has been working closely with NVIDIA for a long time, and we are very happy to see these technologies and tools come together to enable quantum developers and allow them to move faster towards realizing large-scale quantum computers.”
Quantum processors, or QPUs, are highly specialized systems that have historically required expert programming and control. The recent integration aims to make QPUs function akin to another computing resource within larger systems, working in concert with CPUs and GPUs. According to Sam Stanwyck, Director of Quantum Product at NVIDIA, “Quantum processors become transformative when working tightly alongside GPUs and CPUs as a single unified quantum supercomputing system.” Quantum Machines has incorporated NVIDIA NVQLink into its Orchestration Platform, linking the technology managing qubits with NVIDIA’s accelerated computing through a low-latency connection.
This low-latency connection is crucial for tasks necessitating swift interaction between quantum and classical processors. It enables measurement data to be sent to classical processors and processing decisions to be returned to the quantum control system within microseconds. Such capabilities are poised to support future applications requiring real-time quantum-classical coordination, such as quantum error correction and other advanced quantum computing workloads. Quantum Machines and NVIDIA continue to advance these low-latency connections, aiming to make quantum computing more accessible and scalable.
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