Quantum Machines has taken a significant step in the realm of hybrid quantum-classical applications by demonstrating a complete NVIDIA CUDA-Q program running on live qubits and a classical PPU processor through NVIDIA’s NVQLink. This integration marks a novel approach to developing these applications, uniting Quantum Machines’ quantum control technology with NVIDIA’s open platform for quantum-GPU computing and its NVQLink architecture. This architecture enables a high-speed connection between quantum controllers and accelerated computing systems, facilitating developers to write quantum applications in commonly used programming languages like Python, C++, or QUA without the need for manually creating low-level control sequences typically required for quantum hardware.
The demonstration showcased a unified quantum-classical computing system where code written with CUDA-Q was executed across a quantum processor, GPUs, and CPUs via Quantum Machines’ control stack. The system adeptly routes various parts of a workload to the appropriate processor, thanks to NVIDIA NVQLink, which ensures rapid communication between quantum and classical computing resources. The complete exchange of information was impressively accomplished in about one microsecond, and this cutting-edge technology is being showcased at IEEE Quantum Week in Toronto, where attendees can witness the system operating with live quantum hardware.
Yonatan Cohen, CTO of Quantum Machines, expressed their satisfaction with the collaboration, stating that the integration of these technologies empowers quantum developers to advance more swiftly towards the realization of large-scale quantum computers. This integration aims to make quantum processors, traditionally requiring specialized programming and control expertise, function more seamlessly alongside CPUs and GPUs as part of a broader computing system. Sam Stanwyck, Director of Quantum Product at NVIDIA, emphasized the transformative potential of quantum processors when they operate in tandem with GPUs and CPUs as a single, unified quantum supercomputing system.
Quantum Machines has successfully incorporated NVIDIA NVQLink into its Quantum Machines Orchestration Platform, seamlessly connecting the hardware responsible for controlling and reading qubits with NVIDIA’s accelerated computing through a low-latency connection. When developers create a program using CUDA-Q, quantum operations are executed on the QPU, while CPUs and GPUs manage classical processing in real time. The control system of Quantum Machines translates these operations into precisely timed signals to control and measure the qubits.
This low-latency connection is vital for workloads requiring rapid interaction between quantum and classical processors, allowing measurement data to be swiftly sent to classical processors and processing decisions to be returned to the quantum control system within microseconds. Such capabilities are crucial for 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 aims to further advance accessible and scalable quantum computing by developing low-latency connections between quantum processors and accelerated computing systems.
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