Quantum Machines has achieved a significant milestone by demonstrating a complete NVIDIA CUDA-Q program that runs seamlessly across live qubits and a classical PPU processor, all connected through NVIDIA NVQLink. This breakthrough underscores a novel method for developing hybrid quantum-classical applications. By integrating Quantum Machines’ advanced quantum control technology with NVIDIA’s CUDA-Q, an open platform for quantum-GPU computing, and the NVQLink architecture, the demonstration showcases a high-speed connection between quantum controllers and accelerated computing systems.
The collaboration between Quantum Machines and NVIDIA simplifies the process of developing quantum applications. Developers can now write quantum applications using familiar programming languages like Python, C++, or QUA, eliminating the need for manually creating low-level control sequences that quantum hardware traditionally requires. During the demonstration, code written in CUDA-Q was executed across a quantum processor, GPUs, and CPUs through Quantum Machines’ control stack, with the system adeptly routing various parts of the workload to the appropriate processor. Thanks to NVIDIA NVQLink, communication between the quantum processor and classical computing resources happens in approximately one microsecond.
This pioneering technology was showcased by Quantum Machines at the IEEE Quantum Week in Toronto, providing researchers and engineers a firsthand look at the system in action with live quantum hardware. Yonatan Cohen, CTO of Quantum Machines, expressed satisfaction with the collaboration, noting the joint effort with NVIDIA as a step forward in enabling quantum developers to accelerate the realization of large-scale quantum computers.
The integration of NVIDIA NVQLink into Quantum Machines’ Orchestration Platform marks a significant advance in connecting quantum processors with CPUs and GPUs. Traditionally, quantum processors required specialized programming and control expertise. However, this latest development aims to integrate QPUs more seamlessly into broader computing systems, making them function as another computing resource alongside CPUs and GPUs. Sam Stanwyck, Director of Quantum Product at NVIDIA, emphasized the transformative potential of quantum processors when tightly coupled with GPUs and CPUs, forming a unified quantum supercomputing system.
Such a low-latency connection is crucial for workloads demanding rapid interaction between quantum and classical processors, as it enables measurement data to be swiftly sent to classical processors and processing decisions returned to the quantum control system within microseconds. This capability is particularly important for future applications that require 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, aiming to make quantum computing more accessible and scalable.
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