In a significant development for hybrid quantum-classical computing, Quantum Machines has successfully executed an end-to-end NVIDIA CUDA-Q program on live qubits, seamlessly integrating with a classical PPU processor via NVIDIA NVQLink. This demonstration marks a pivotal step toward developing applications that leverage both quantum and classical resources, showcasing Quantum Machines’ sophisticated quantum control technology in conjunction with NVIDIA’s CUDA-Q and NVQLink architecture. This collaboration aims to simplify the process for developers by enabling them to write quantum applications using common programming languages like Python, C++, or QUA, thereby eliminating the need for manually generating complex low-level control sequences traditionally necessary for quantum hardware.
The demonstration featured code written with CUDA-Q, running through Quantum Machines’ control stack and spanning a quantum processor, GPUs, and CPUs. Notably, the system efficiently directed different parts of a workload to the most suitable processor, facilitated by NVIDIA NVQLink, which offers swift communication between the quantum processor and classical computing resources. Impressively, the entire operation was completed in approximately one microsecond. This advancement is being showcased at IEEE Quantum Week in Toronto, inviting researchers and engineers to witness the system in action with live quantum hardware. Yonatan Cohen, CTO of Quantum Machines, expressed enthusiasm for the collaboration with NVIDIA, emphasizing the technologies’ role in accelerating the development of large-scale quantum computers.
The integration of NVIDIA NVQLink into Quantum Machines’ Orchestration Platform signifies a breakthrough in connecting quantum processors with CPUs and GPUs. Traditionally, quantum processors required highly specialized programming expertise, but this new integration positions QPUs as additional computing resources within a larger system. Sam Stanwyck, Director of Quantum Product at NVIDIA, highlighted the transformative potential of closely integrating quantum processors with GPUs and CPUs to form a unified quantum supercomputing system. This integration allows the execution of quantum operations on the QPU while enabling real-time classical processing on CPUs and GPUs, thanks to Quantum Machines’ control system, which translates operations into precisely timed signals for qubit control and measurement.
The low-latency connection is crucial for workloads demanding swift interaction between quantum and classical processors. It facilitates the rapid exchange of measurement data to classical processors, with processing decisions returned to the quantum control system in mere microseconds. This capability is expected to support future applications requiring real-time quantum-classical coordination, such as quantum error correction and other advanced quantum computing workloads. Quantum Machines and NVIDIA continue to push the boundaries of low-latency connections between quantum processors and accelerated computing systems, with their latest demonstration paving the way for more accessible and scalable quantum computing solutions.
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