Will future AI pipelines begin and end in quantum space? From NVIDIA’s collaboration with Quantum Machines on the DGX Quantum Early Access program, to foundational work at the NVIDIA Accelerated Quantum Research Center (NVAQC) with Quantinuum and QuEra Computing Inc., quantum computing is gaining the orchestration layer it always needed. The implication for infrastructure teams: hybrid workflows are arriving sooner than expected. → GPUs will handle learning and inference. → Quantum processors will handle optimisation and simulation loops. → Interconnects like NVQLink will synchronise both in real time. The pipeline itself becomes intelligent, adaptive, hybrid, and modular. That’s the architecture we’re preparing for. Are you "already" thinking about how your infrastructure can be hybrid-ready? #QuantumComputing #HPC #AIInfrastructure #DGX #Innovation #AMBERAI
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🚀 Exciting News from #NVIDIA at GTC Washington! 🚀 Nvidia has just unveiled NVQLink: a game-changing open system architecture that tightly couples GPU supercomputing with quantum processors. This innovation unlocks an entirely new era for quantum computing by bringing real-time AI-driven control, calibration, and error correction directly into the heart of quantum hardware workflows. With NVQLink, AI algorithms running on GPUs can now analyze quantum system data, calibrate qubits, and orchestrate adaptive error correction loops in real time—solving one of the biggest challenges in scalable, fault-tolerant quantum computing. Hybrid quantum–classical architectures powered by NVQLink promise to drastically accelerate quantum research and industrial readiness, pushing us closer to practical quantum advantage. This milestone cements the synergy between AI and quantum technologies and demonstrates why interdisciplinary innovation is essential for the future of computing. Congratulations to the incredible teams making real-time AI-driven quantum control a reality! #QuantumComputing #AI #GTC2025 #Innovation #NVQLink #Research #QuantumAI
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Nvidia has unveiled NVQLink, a new system designed to connect quantum computers with its AI chips, marking a major step toward merging quantum and classical computing. CEO Jensen Huang said the technology will enable faster processing for breakthroughs in medicine and materials science while helping scale quantum systems to “tens of thousands of qubits” in the future. NVQLink combines software and hardware to integrate quantum interfaces with Nvidia’s architecture, helping reduce qubit error rates and paving the way for next-generation supercomputers. #NVDA #RGTI #Nvidia #WQTM #RigettiComputing #NVDAStock #RGTIStock #NvidiaStock #WQTMStock #RigettiComputingStock #QuantumComputing #AI #NVQLink #JensenHuang #Supercomputing #Semiconductors #Technology #Innovation #ArtificialIntelligence #QuantumAI #MarketIntelligence #FinancialMarkets #Investors #WallStreet #Finance $NVDA $RGTI $WQTM
Nvidia Bridges AI and Quantum Worlds With New NVQLink System
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NVIDIA and General Atomics, with UC San Diego / San Diego Supercomputer Center, Argonne Leadership Computing Facility (ALCF), and National Energy Research Scientific Computing Center (NERSC) (LBNL), unveiled an AI-enabled digital twin of the DIII-D National Fusion Facility. Announced at #NVIDIAGTC Washington, D.C. It cuts plasma-prediction time from weeks to seconds, enabling interactive “what-if” experiments toward practical fusion power. Trained on Polaris (ALCF) and Perlmutter (NERSC), the twin runs in NVIDIA Omniverse using CUDA-X and data-center GPUs, and incorporates AI surrogate models like EFIT, CAKE, and ION ORB... #FusionEnergy #AI #DigitalTwin #Supercomputing #NVIDIA #GeneralAtomics #UCSD #SDSC #Argonne #ALCF #NERSC #LBNL #DIIID #DOE #NVIDIAGTC
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Quantum computing just took a significant leap forward in tackling its biggest challenge: errors! 🚀 Quantinuum today unveiled Helios, their third-generation ion-based quantum computer, and it's a game-changer for quantum error correction. Helios significantly simplifies error correction, needing only *two* physical qubits to create one stable logical qubit. This is a massive improvement compared to other platforms (like Google needing 105 physical qubits or IBM needing 12), and it's thanks to its cutting-edge design using 98 highly controllable barium ions. The secret? Helios's barium ions offer incredible precision and "all-to-all connectivity," allowing them to interact seamlessly and minimize errors from the get-go (achieving 99.921% entanglement fidelity!). This unique flexibility, combined with "on-the-fly" error correction powered by Nvidia GPUs, paves a clearer path towards scalable, fault-tolerant quantum systems. While the "dream algorithms" for materials discovery or financial modeling are still on the horizon, Helios is a crucial "proof point" on the roadmap. It's already being used for real-world scientific discovery, simulating complex problems like magnetism and high-temperature superconductivity – tackling challenges the Department of Energy is keenly interested in. Quantinuum's ambitious roadmap includes Sol (2027) and Apollo (2029), aiming for thousands of fully fault-tolerant qubits. The race to scale quantum computing is intensifying, and ion-trap systems like Helios are demonstrating a powerful advantage. What are your thoughts on the impact of improved error correction on the future of quantum computing? Do ion-traps hold the key? Read more about Helios here: [https://lnkd.in/gJ_FdMDu) #techmasteryguru #QuantumComputing #Quantinuum #Helios #ErrorCorrection #QuantumTech #Innovation #DeepTech #Qubits #IonTraps #HighTech #FutureofTech
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NVIDIA is shaping the future of AI and quantum computing. At #GTC2025, NVIDIA unveiled two groundbreaking innovations: ↳ AI-Native Wireless Stack for 6G: In collaboration with Booz Allen Hamilton, Cisco, MITRE, and others, NVIDIA introduced an AI-ready wireless architecture designed to power next-gen connectivity. This stack integrates AI deeply into 6G infrastructure, enabling smarter physical AI systems and unlocking massive spectral efficiency for billions of connected devices. ↳ NVQLink Quantum Architecture: NVIDIA also launched NVQLink, a hybrid computing framework that merges classical and quantum systems. With support from partners like Oracle and DOE, two supercomputers, Solstice and Equinox, will be deployed at Argonne National Lab, accelerating scientific breakthroughs with 100,000+ Blackwell GPUs. These innovations mark a pivotal leap toward AI-native networks and scalable quantum computing. #AI #QuantumComputing #6G #NVIDIA #Supercomputing #DigitalTransformation #GTC2025 #EdgeComputing #NVQLink
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🚀 The Future of Computing Is No Longer Classical — It’s Hybrid! 🌐 Once again, Jensen Huang has redefined what’s next for computing — this time by uniting quantum and classical worlds. NVIDIA’s latest breakthrough, NVQLink, is a quantum–GPU interconnect boasting latency as low as 4 microseconds. Built in collaboration with 17 quantum hardware builders and 9 U.S. national laboratories, NVQLink aims to make every GPU supercomputer hybrid — seamlessly transferring data between quantum processors and GPUs at unprecedented speeds. 🧠 Huang called it the “Rosetta Stone” of hybrid computing — a bridge between two realms of computation. Leaders from Cadence, Infleqtion, Lila Sciences, and Xaira Therapeutics echoed that this could unlock early quantum advantages in materials science and drug discovery. Of course, experts remain grounded. As Prof. Arindam Ghosh (IISc Bengaluru) notes, while algorithms like QAOA can simulate quantum behaviour, the outcomes are still classical — but the hybrid model shows immense promise. Classical systems will handle the heavy lifting, passing complex problems to quantum processors for refinement. 💬 “GPUs are not going away — no chance.” The message is clear: the next revolution in computing isn’t about replacing classical systems… it’s about uniting them with quantum intelligence. #NVIDIA #QuantumComputing #AI #GPUs #Innovation #TechRevolution #HybridComputing #JensenHuang #FutureOfComputing
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AMD and Oak Ridge National Laboratory together advanced next-generation climate modeling with ORBIT-2 — an AI foundation designed to perform global, hyper-resolution weather downscaling at an unprecedented 0.9 km resolution. Powered by AMD Instinct™ GPUs and ROCm™ software on the Frontier supercomputer, this breakthrough showcases how AMD technology drives the future of AI-for-Science! #AMD #AI #WeatherPrediction #Supercomputing #Innovation #AMDBrandAmbassador
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Diraq has teamed up with NVIDIA to employ NVQLink and CUDA-Q to power real-time control and calibration for scalable quantum computing. ⚙️ 🔗 Read more on our latest collaboration here: https://lnkd.in/enmYQS5A Sam Stanwyck Shane Caldwell Jin-Sung Kim Nicholas Harrigan Timothy Costa Jensen Huang Quantum Machines Pictured: Andre Saraiva MengKe Feng Dean Poulos Tuomo Tanttu Matt Flax Harish Vallabhapurapu #NVIDIA #Innovation #NVQLink #CUDAQ #Quantum
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A new collaboration between Berkeley Lab and NVIDIA is propelling the future of computing, integrating quantum processors with supercomputing resources using NVQLink’s high-speed interconnect. With our open-source QubiC controller, classical systems (CPUs & GPUs) and quantum processors (QPUs) work together in real time. This enables the execution of advanced quantum experiments, bringing us closer to building powerful and reliable quantum computers. Learn more: https://bit.ly/QubiCnv ____________________________________ cc: U.S. Department of Energy (DOE) U.S. Department of Energy Office of Science Berkeley Lab ATAP Division University of California, Berkeley Quantum Systems Accelerator National Energy Research Scientific Computing Center (NERSC) #AQTatBerkeleyLab Yilun Xu Gang Huang #NVIDIAGTC #QuantumComputing #HPC #Supercomputing #AI #Science #Research #Innovation #Quantum
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Jensen Huang and the Art of Staying Relevant Before Relevance Arrives Quantum computing has long sat in the “maybe one day” bucket. Powerful in theory, impractical in deployment. Nvidia’s new NVQLink announcement shifts that conversation. Instead of betting on quantum, Nvidia is betting around it — building the connective tissue that lets quantum processors work alongside today’s AI and GPU systems. Because quantum won’t replace classical computing; it will co-exist, complement and extend it. This is Jensen Huang’s signature move: See the architecture shift early Build the enabling layer before the market forms Become indispensable to the entire ecosystem That’s how Nvidia went from “graphics card maker” to “AI infrastructure standard.” And now, with many quantum computing players already aligned, Nvidia is positioning itself to be the interconnect backbone if quantum scales from hundreds to tens of thousands of qubits. With Google’s recent quantum milestone and US DOE’s push for next-gen supercomputers, the momentum is unmistakable. Huang isn’t promising that quantum is here tomorrow. He’s ensuring that when it arrives, Nvidia is the company every quantum breakthrough has to run through. The lesson? Don’t chase the wave. Build the shore it breaks on. #Nvidia #QuantumComputing #TechStrategy #PlatformThinking #EcosystemLeadership #NextGenHardware
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honestly kinda wild how fast this is moving... infra teams gotta start thinking about this quantum stuff sooner than later right?