Quantum Machines has unveiled a groundbreaking integration that enables the execution of end-to-end applications using NVIDIA’s CUDA-Q framework across live qubits and a classical PPU processor. This is achieved through the NVIDIA NVQLink, marking a significant advancement in developing hybrid quantum-classical applications. By merging Quantum Machines’ expertise in quantum control technology with NVIDIA’s CUDA-Q, an open platform for quantum-GPU computing, the demonstration showcases a high-speed connection facilitated through the NVQLink architecture, bridging quantum controllers with accelerated computing systems.
This collaboration allows developers to leverage familiar programming languages like Python, C++, or QUA to craft quantum applications without the need for manually constructing low-level control sequences traditionally necessary for quantum hardware. During the demonstration, code composed with CUDA-Q was seamlessly executed across a quantum processor, GPUs, and CPUs, thanks to Quantum Machines’ control stack. The system intelligently allocates different portions of a workload to the most suitable processing unit, with NVIDIA NVQLink enabling swift communication between quantum and classical computing resources. Impressively, Quantum Machines demonstrated a complete exchange in approximately one microsecond at IEEE Quantum Week in Toronto, where the technology is also being showcased live to researchers and engineers.
Yonatan Cohen, CTO of Quantum Machines, expressed satisfaction with their collaboration with NVIDIA, emphasizing the potential of these technologies and tools in accelerating the path towards large-scale quantum computers. Quantum processors traditionally require specific programming and control expertise, but this latest integration aims to streamline their operation, allowing them to function as another resource within a broader computing system alongside CPUs and GPUs. Sam Stanwyck, Director of Quantum Product at NVIDIA, highlighted the transformative potential of quantum processors when integrated tightly with GPUs and CPUs, forming a unified quantum supercomputing system.
Quantum Machines has incorporated NVIDIA NVQLink into its Orchestration Platform, establishing a low-latency connection between the hardware controlling and reading qubits and NVIDIA’s accelerated computing solutions. This integration allows developers to create programs using CUDA-Q where quantum operations are executed on the QPU, while CPUs and GPUs handle classical processing in real time. Quantum Machines’ control system translates these operations into precisely timed signals essential for controlling and measuring qubits.
The low-latency connection plays a crucial role in supporting workloads demanding rapid interaction between quantum and classical processors. Measurement data can be swiftly sent to classical processors, with processing decisions returned to the quantum control system within mere microseconds. This capability is particularly promising for future applications that require real-time quantum-classical coordination, such as quantum error correction and advanced quantum computing workloads. The ongoing efforts by Quantum Machines and NVIDIA to develop low-latency connections are poised to make quantum computing more accessible and scalable.
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