In a significant advancement for hybrid quantum-classical computing, Quantum Machines has successfully implemented an end-to-end NVIDIA CUDA-Q program running on both live qubits and a classical processing unit, utilizing NVIDIA’s NVQLink technology. This groundbreaking demonstration combines Quantum Machines’ expertise in quantum control with NVIDIA’s CUDA-Q, an open platform tailored for quantum-GPU computing, and the NVQLink architecture, which ensures a high-speed connection between quantum controllers and accelerated computing systems. This integration simplifies the creation of quantum applications, allowing developers to utilize familiar programming languages such as Python, C++, or QUA, thereby eliminating the need for manually crafting low-level control sequences typically required for quantum hardware.
The demonstration showcased a unified quantum-classical computing model, where code written with CUDA-Q was executed seamlessly through Quantum Machines’ control stack, spanning a quantum processor, GPUs, and CPUs. The system intelligently directs different components of a workload to the appropriate processor. With NVIDIA’s NVQLink facilitating swift communication between quantum processors and classical computing resources, the complete exchange illustrated by Quantum Machines was accomplished in approximately one microsecond. This innovative technology was featured at IEEE Quantum Week in Toronto, where researchers and engineers had the opportunity to observe the system’s operation with live quantum hardware.
Yonatan Cohen, CTO of Quantum Machines, expressed satisfaction with the collaboration with NVIDIA, emphasizing the potential of these combined technologies and tools to accelerate the progress towards large-scale quantum computers. Quantum Machines has integrated NVIDIA NVQLink into its Orchestration Platform, effectively bridging the hardware that manages and reads qubits with NVIDIA’s accelerated computing through a low-latency connection. This integration aims to make quantum processors function more like standard computing resources, operating in conjunction with CPUs and GPUs as part of a larger system.
Sam Stanwyck, Director of Quantum Product at NVIDIA, highlighted the transformative potential of quantum processors when they are closely integrated with GPUs and CPUs, creating a unified quantum supercomputing system. When developers use CUDA-Q to create programs, quantum operations are performed on the quantum processing unit (QPU), while CPUs and GPUs handle classical processing in real time. Quantum Machines’ control system translates these operations into precise signals required for controlling and measuring qubits.
The low-latency connection between quantum and classical processors is crucial for workloads that demand rapid interaction, such as quantum error correction and other complex quantum computing tasks. This capability could pave the way for future applications that necessitate real-time quantum-classical coordination. Quantum Machines and NVIDIA continue to enhance low-latency connections between quantum processors and accelerated computing systems, aiming to make quantum computing more accessible and scalable.
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