Quantum Machines has showcased an innovative approach to hybrid quantum-classical applications by successfully demonstrating an end-to-end NVIDIA CUDA-Q program. This program operates across live quantum bits (qubits) and a classical PPU processor, utilizing NVIDIA NVQLink for enhanced connectivity. The integration merges Quantum Machines’ advanced quantum control technology with NVIDIA’s CUDA-Q platform and NVQLink architecture, facilitating a seamless interaction between quantum controllers and accelerated computing systems.
At the recent IEEE Quantum Week in Toronto, Quantum Machines demonstrated how developers can write quantum applications using familiar languages such as Python, C++, or QUA. The system eliminates the need for manually creating low-level control sequences, traditionally required for quantum hardware, by automatically directing different components of a workload to the appropriate processor. This is accomplished through NVIDIA NVQLink, which allows for a rapid exchange between quantum processors and classical computing resources, reportedly completing the process in around one microsecond.
Yonatan Cohen, CTO of Quantum Machines, expressed satisfaction with the collaboration with NVIDIA, highlighting the potential for these technologies to accelerate the development of large-scale quantum computers. The integration aims to treat quantum processors as part of a broader computing system, enabling them to function alongside CPUs and GPUs. According to Sam Stanwyck, Director of Quantum Product at NVIDIA, this tight integration transforms quantum processors into a unified quantum supercomputing system.
Quantum Machines has incorporated NVIDIA NVQLink into its Orchestration Platform, connecting the equipment responsible for controlling and measuring qubits with NVIDIA’s accelerated computing capabilities via a low-latency connection. This setup allows developers to execute quantum operations on QPUs while utilizing CPUs and GPUs for classical processing concurrently. Through Quantum Machines’ control system, these operations are transformed into precise signals necessary for controlling and measuring qubits.
This advancement is particularly significant for workloads that demand swift interaction between quantum and classical processors, such as quantum error correction and other complex quantum computing tasks. By enabling real-time quantum-classical coordination, the demonstrated technology aims to support future quantum workloads that require rapid data exchange and processing. Quantum Machines and NVIDIA continue to refine low-latency connections, striving to make quantum computing more accessible and scalable.
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