Quantum Machines has unveiled a significant advancement in quantum computing by successfully executing an end-to-end NVIDIA CUDA-Q program on live qubits, in conjunction with a classical PPU processor, utilizing NVIDIA NVQLink. This demonstration marks a novel approach in developing hybrid quantum-classical applications, integrating Quantum Machines’ quantum control technology with NVIDIA’s CUDA-Q platform and NVQLink architecture. The latter facilitates a high-speed connection between quantum controllers and accelerated computing systems, allowing developers to craft quantum applications using widely-known programming languages like Python, C++, and QUA, without the need for manually developing the intricate low-level control sequences typically necessary for quantum hardware.
The demonstration showcased a unified quantum-classical computing system where code written with CUDA-Q was executed through Quantum Machines’ control stack across a combination of quantum processors, GPUs, and CPUs. The system efficiently routes different workload segments to suitable processors, with NVIDIA NVQLink enabling swift communication between quantum processors and classical computing resources. Remarkably, the entire exchange was completed in about one microsecond. This technological breakthrough is being presented at IEEE Quantum Week in Toronto, offering researchers and engineers a firsthand look at the system’s capabilities with live quantum hardware.
Yonatan Cohen, CTO of Quantum Machines, emphasized their long-standing collaboration with NVIDIA, expressing satisfaction as these technologies and tools unite to empower quantum developers, accelerating progress towards the realization of large-scale quantum computers. The integration aims to transform quantum processors into components that function seamlessly within broader computing systems, alongside CPUs and GPUs. Sam Stanwyck, Director of Quantum Product at NVIDIA, highlighted this integration as a crucial step towards making quantum processors transformative when they operate closely with GPUs and CPUs as part of a unified quantum supercomputing system.
Quantum Machines has incorporated NVIDIA NVQLink into its Orchestration Platform, linking hardware responsible for qubit control and reading with NVIDIA’s accelerated computing through a low-latency connection. This setup allows developers to create programs with CUDA-Q where quantum operations are performed on the QPU, while classical processing occurs in real-time on CPUs and GPUs. The control system from Quantum Machines converts these operations into precisely timed signals, crucial for controlling and measuring qubits.
The low-latency connection plays a vital role in workloads that demand rapid interaction between quantum and classical processors. It enables measurement data to be swiftly sent to classical processors, with processing decisions promptly relayed back to the quantum control system within microseconds. This capability is particularly promising for future applications necessitating real-time quantum-classical coordination, such as quantum error correction and other advanced quantum computing tasks. Quantum Machines and NVIDIA continue to push the boundaries of low-latency connections between quantum processors and accelerated computing systems, striving to make quantum computing more accessible and scalable.
Legal Disclaimer:
The information contained in this article has been provided by independent third-party contributors, clients, or content partners. We do not independently verify the accuracy, completeness, legality, ownership, licensing, or reliability of submitted content, including text, images, videos, trademarks, or other media materials. The submitting party is solely responsible for ensuring that all content, including images and media assets, complies with applicable copyright, trademark, licensing, and intellectual property laws. We disclaim liability for any unauthorized use of copyrighted or proprietary materials by third parties. If you believe that any content published on this platform infringes your intellectual property rights, kindly contact the author above for prompt review and resolution.