Quantum Machines has made strides in quantum computing by successfully running an NVIDIA CUDA-Q program across live qubits and a classical PPU processor. This was achieved using NVIDIA’s NVQLink, marking a significant advance in hybrid quantum-classical application development. The demonstration leverages Quantum Machines’ quantum control technology alongside NVIDIA’s CUDA-Q platform and NVQLink, which facilitates high-speed connections between quantum controllers and accelerated computing systems. This integration simplifies the process for developers, allowing them to write quantum applications in familiar languages such as Python, C++, or QUA without needing to manually create complex control sequences for quantum hardware.
The demonstration showcased how code written with CUDA-Q can be executed through Quantum Machines’ control stack, interacting seamlessly with quantum processors, GPUs, and CPUs. NVIDIA NVQLink plays a critical role in enabling rapid communication between quantum processors and classical computing resources, with the entire exchange completed in about one microsecond. This technology is currently being exhibited at IEEE Quantum Week in Toronto, offering researchers and engineers the opportunity to observe the system operating with live quantum hardware. Yonatan Cohen, CTO of Quantum Machines, expressed satisfaction with the collaboration with NVIDIA, emphasizing how the convergence of these technologies can accelerate the development of large-scale quantum computers.
Traditionally, quantum processors required specialized programming and control expertise. However, this latest integration aims to position quantum processing units (QPUs) as another computing resource within a broader system, working in tandem with CPUs and GPUs. Sam Stanwyck, Director of Quantum Product at NVIDIA, highlighted that the true transformative potential of quantum processors is realized when they operate closely with GPUs and CPUs in a unified quantum supercomputing system. By incorporating NVIDIA NVQLink into its Orchestration Platform, Quantum Machines has connected the hardware used to control and read qubits with NVIDIA’s accelerated computing through a low-latency connection.
When developers use CUDA-Q, quantum operations are executed on the QPU while classical processing is handled by CPUs and GPUs in real time. Quantum Machines’ control system efficiently translates these operations into precisely timed signals needed to control and measure the qubits. This low-latency connection is especially crucial for workloads that require fast interaction between quantum and classical processors. It enables the swift transmission of measurement data to classical processors and the return of processing decisions to the quantum control system within microseconds.
This capability is poised to support future applications that demand real-time quantum-classical coordination, including quantum error correction and other advanced quantum computing workloads. Quantum Machines and NVIDIA continue to develop these low-latency connections, aiming to make quantum computing more accessible and scalable, further advancing the field through their latest demonstration.
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