NVIDIA Expands Quantum Computing Horizons with AI Supercomputing
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Timothy Morano Nov 19, 2024 01:18 NVIDIA announces partnerships to advance quantum computing using AI supercomputing, highlighting collaborations with industry leaders like Google and Moderna at Supercomputing 2024. NVIDIA is pioneering advancements in quantum computing by integrating AI supercomputing capabilities, as highlighted by recent announcements at Supercomputing 2024 (SC24). The tech giant has formed partnerships with various industry and academic leaders to address current challenges in quantum computing and push the boundaries of this rapidly evolving technology, according to NVIDIA. AI Meets Quantum Computing Generative AI is playing a crucial role in overcoming quantum computing challenges. NVIDIA has collaborated with scientists to publish a research paper, “Artificial Intelligence for Quantum Computing,” which explores the transformative potential of AI in this field. The paper emphasizes using AI models like GPT to synthesize quantum circuits and decode quantum error correction codes, demonstrating significant progress at the intersection of these two transformative disciplines. Innovative Infrastructure and Algorithms The collaboration between Poznan Supercomputing and Networking Center (PSNC), ORCA Computing, and NVIDIA has yielded the first fully functional multi-QPU, multi-GPU, multi-user infrastructure. This setup leverages NVIDIA H100 Tensor Core GPUs and the NVIDIA CUDA-Q platform, showcasing a novel Resource State Generator with Pretrained Transformers (RS-GPT) algorithm for photonic quantum processors. This collaboration also developed a hybrid quantum-classical generative adversarial network (GAN) for facial recognition and a quantum neural network for medical diagnostics. Integration of Quantum and Classical Technologies At SC24, several announcements highlighted CUDA-Q’s integration with various quantum hardware providers, including Anyon, Fermioniq, and QuEra. These partnerships facilitate the seamless integration of quantum resources into hybrid algorithms, broadening access to accelerated quantum supercomputing. Enhancing Quantum Hardware Design NVIDIA’s CUDA-Q platform now supports the development of quantum hardware using AI supercomputing. New dynamical simulation capabilities in CUDA-Q 0.9 enable high-accuracy simulations of quantum systems, aiding QPU…
Filed under: News - @ November 19, 2024 5:20 am