In a groundbreaking demonstration, Quantum Machines has harnessed the power of NVIDIA’s CUDA-Q to run a program seamlessly across live qubits and a classical PPU processor, connected via NVIDIA NVQLink. This marks a significant step towards creating hybrid quantum-classical applications by merging Quantum Machines’ advanced quantum control technology with NVIDIA’s open platform for quantum-GPU computing. The NVQLink architecture facilitates a high-speed connection between quantum controllers and accelerated computing systems. This integration allows developers to construct quantum applications using familiar programming languages like Python, C++, or QUA, bypassing the need for manually crafting the low-level control sequences typically necessary for quantum hardware.
The demonstration showcased the execution of CUDA-Q code through Quantum Machines’ control stack, effectively managing a quantum processor, GPUs, and CPUs in unison. By automatically routing different workload segments to the appropriate processor, the system exemplifies unified quantum-classical computing. NVIDIA’s NVQLink plays a crucial role by enabling swift communication between the quantum processor and classical computing resources, with the complete data exchange being accomplished in about one microsecond. Currently being displayed at IEEE Quantum Week in Toronto, this technology offers researchers and engineers the chance to witness the system with live quantum hardware.
Yonatan Cohen, CTO of Quantum Machines, expressed satisfaction over the collaboration with NVIDIA, highlighting that these developments provide quantum developers with enhanced tools to move closer to realizing large-scale quantum computers. Traditionally, quantum processors require specialized programming and control expertise. However, the latest integration seeks to make quantum processing units act as just another computing resource within a broader system, working harmoniously with CPUs and GPUs.
Sam Stanwyck, Director of Quantum Product at NVIDIA, emphasized the transformative potential of quantum processors when they operate closely with GPUs and CPUs, forming a unified quantum supercomputing system. By incorporating NVIDIA NVQLink into its Orchestration Platform, Quantum Machines connects hardware responsible for controlling and reading qubits with NVIDIA’s accelerated computing via a low-latency connection. In practice, this means that when a developer writes a program using CUDA-Q, quantum operations are executed on the QPU, while CPUs and GPUs handle classical processing in real-time.
This low-latency connection is especially critical for workloads demanding rapid interaction between quantum and classical processors. It enables measurement data to be sent swiftly to classical processors, with processing decisions fed back to the quantum control system within microseconds. Such capabilities are poised to support future applications necessitating real-time quantum-classical coordination, such as quantum error correction and other advanced quantum computing workloads. The ongoing collaboration between Quantum Machines and NVIDIA continues to push the boundaries of accessible and scalable quantum computing, with their latest demonstration serving as a promising advancement in the field.
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