University of Kwazulu-Natal

Quantinuum Powering Hybrid Quantum Ai Supercomputing With Nvidia

Bonisiwe Shabane
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quantinuum powering hybrid quantum ai supercomputing with nvidia

Quantinuum is focusing on redefining what’s possible in hybrid quantum–classical computing by integrating Quantinuum’s best-in-class systems with high-performance NVIDIA accelerated computing to create powerful new architectures that can solve the world’s most pressing challenges. The launch of Helios, Powered by Honeywell, the world’s most accurate quantum computer, marks a major milestone in quantum computing. Helios is now available to all customers through the cloud or on-premise deployment, launched with a go-to-market offering that seamlessly pairs Helios with the NVIDIA Grace Blackwell platform, targeting specific end markets such as... We are also working with NVIDIA to adopt NVIDIA NVQLink, an open system architecture, as a standard for advancing hybrid quantum-classical supercomputing. Using this technology with Quantinuum Guppy and the NVIDIA CUDA-Q platform, Quantinuum has implemented NVIDIA accelerated computing across Helios and future systems to perform real-time decoding for quantum error correction. In an industry-first demonstration, an NVIDIA GPU-based decoder integrated in the Helios control engine improved the logical fidelity of quantum operations by more than 3% — a notable gain given Helios’ already exceptionally low...

These results demonstrate how integration with NVIDIA accelerated computing through NVQLink can directly enhance the accuracy and scalability of quantum computation. This unique collaboration spans the full Quantinuum technology stack. Quantinuum’s next-generation software development environment allows users to interleave quantum and GPU-accelerated classical computations in a single workflow. Developers can build hybrid applications using tools such as NVIDIA CUDA-Q, NVIDIA CUDA-QX, and Quantinuum’s Guppy, to make advanced quantum programming accessible to a broad community of innovators. Quantum computing’s promise has long rested on a single, stubborn question: how do you scale fragile qubits into something useful? Quantinuum and Nvidia believe the answer lies in coupling error-corrected quantum processors with GPU-powered AI supercomputers' raw, parallel horsepower.

Their new collaboration, centred on the Nvidia Accelerated Quantum Research Center (NVAQC) in Boston, aims to create “accelerated quantum supercomputers” capable of overcoming qubit noise, algorithmic instability, and other roadblocks that have kept quantum... "AI and quantum will be essential for each other, and it’s a two-way street," said Mark Jackson, senior quantum evangelist at Quantinuum. In practice, that means using deep-learning models to optimise quantum compilers today while preparing quantum processors to supercharge AI workloads tomorrow—an approach the partners hope will turn niche demonstrations into mainstream tools. Announced in March 2025, the NVAQC opened with a remit to merge best-in-class quantum hardware, error-mitigation software, and Nvidia’s CUDA-Quantum framework. The centre is designed to move quantum computing out of the lab and into commercial reality by providing a neutral sandbox for device makers, algorithm developers, and academic theorists. Quantinuum and NVIDIA Forge New Hybrid Supercomputing Architecture, Delivering Breakthroughs in Error Correction and Quantum AI

The world’s largest integrated quantum firm, Quantinuum, and tech behemoth NVIDIA announced a broad, full-stack alliance that is set to revolutionize high-performance computing. Building the basic architecture required for a new generation of hybrid quantum-classical supercomputing is the strategic goal of this partnership. Recognizing that many critical real-world applications necessitate a smooth interaction between quantum processing units (QPUs) and the enormous parallel processing capability of classical Graphics Processing Units (GPUs), the partnership marks a vital evolution in... The alliance’s strategic focus is on this hybrid approach, which aims to develop strong architectures that can address the most important problems facing humanity in domains including advanced artificial intelligence (AI) research, materials science,... You can also read How TXL-Fusion Transforms Topological Material Research The integration of the powerful NVIDIA Grace Blackwell platform with Quantinuum cutting-edge Helios (Powered by Honeywell) trapped-ion quantum computer is the technical basis of this endeavor.

Quantinuum Helios, which uses a racecourse design to handle up to 98 individual atomic ions, is well known around the world for its exceptional accuracy and fidelity. The businesses are introducing a new go-to-market product by combining this cutting-edge quantum technology with NVIDIA’s high-performance accelerated computing. Commercial applications can instantly utilize this collaborative capacity, which targets particular end markets like drug research and finance, either on-premise deployment or cloud computing. Quantinuum has been chosen as a founding collaborator in the upcoming NVIDIA Accelerated Quantum Research Center (NVAQC), an initiative to advance hybrid quantum-classical computing. Set to open later this year, the center will integrate Quantinuum’s System Model H2 — one of the highest-performing quantum systems—with NVIDIA’s CUDA-Q platform and the GB200 NVL72 supercomputer to enhance research into real-world... Quantinuum was the first company to integrate CUDA-Q into its systems in 2022 and currently offers access to its System Model H1 QPU and emulator for CUDA-Q users 3.

Future quantum systems will continue to support CUDA-Q and be made available via the NVAQC. According to Quantinuum, the company plans to launch a 100-logical-qubit quantum system by 2027, with scalable systems featuring hundreds of logical qubits anticipated by 2030. These goals are underpinned by recent performance milestones, including the achievement of >99.9% two-qubit gate fidelity and continued progress in logical qubit quality 4. The company has also addressed long-standing challenges in the scalability of ion-trap architectures 5. “By combining NVIDIA’s AI hardware and software solutions with leading and differentiated solutions from Quantinuum, we’re unlocking unprecedented solutions and accelerating Generative Quantum AI’s adoption across diverse markets.” — Dr. Rajeeb Hazra, Quantinuum’s president and CEO

“Progress toward useful quantum computing hinges on new discoveries. The NVAQC will fast-track the development of useful quantum devices, being the epicenter for breakthroughs made with partners like Quantinuum,” added Tim Costa, NVIDIA’s senior director of CAE, Quantum, and CUDA-X. Posted by Kris Stewart | Mar 20, 2025 | AI | 0 | Quantum computing isn’t just the future—it’s the next frontier of computational power, and NVIDIA is doubling down on its mission to bring it closer to reality. At the heart of this quantum revolution is the newly unveiled NVIDIA Accelerated Quantum Research Center (NVAQC), a cutting-edge hub where quantum processing units (QPUs) and AI supercomputers collide to tackle humanity’s most complex... Announced at NVIDIA’s GTC global AI conference, the NVAQC is poised to become the epicenter of quantum innovation, powered by a staggering 576 NVIDIA Blackwell GPUs and the NVIDIA Quantum-2 InfiniBand networking platform.

“The NVAQC is the ultimate sandbox for scaling quantum computing,” says Tim Costa, NVIDIA’s senior director of computer-aided engineering, quantum, and CUDA-X. “It’s where we’ll simulate quantum algorithms, integrate quantum processors, and train AI models to push the boundaries of what’s possible.” With partners like Quantinuum, QuEra, and Quantum Machines, alongside academic heavyweights like MIT and... Together, they’re redefining what it means to build a hybrid quantum-classical supercomputer. One of the biggest hurdles in quantum computing? Noise. Qubits, the building blocks of quantum systems, are notoriously finicky.

While they need to interact with their environment to function, these interactions often introduce errors that can derail calculations. Enter quantum error correction—a process that encodes logical qubits within a sea of noisy physical ones. But here’s the catch: decoding these errors in real-time is a computational nightmare. That’s where NVIDIA’s AI supercomputing prowess comes in. The NVAQC will explore how AI can turbocharge decoding, enabling low-latency, parallelized systems that keep quantum noise in check. By leveraging NVIDIA’s GB200 Grace Blackwell Superchips, researchers aim to develop AI-enhanced decoders that can process millions of qubits at lightning speed.

“This is about building the infrastructure to make quantum computing useful,” says Mikhail Lukin, co-director of the Harvard Quantum Initiative. Earlier this month at the launch of our Helios quantum computer, NVIDIA’s Jensen Huang said, “the future of computing is hybrid: quantum and classical.” That future is already taking shape at #SC25, where hybrid... This week, we highlighted the depth of our collaboration with NVIDIA through several joint initiatives: 🔹 NVIDIA’s announcement on how leading supercomputing centers are adopting #NVQLink™ to integrate the Grace Blackwell platform with quantum... 🔗 https://lnkd.in/ebACAYEq 🔹 A new Quantinuum blog detailing the full scope of our collaborations with NVIDIA across hybrid computing, quantum + AI, and a new GenQAI initiative following the Helios launch. 🔗 https://lnkd.in/ePWySyVg 🔹 Hands-on tutorials at our booth featuring Guppy, our new, open-source programming language based on Python, NVIDIA CUDA-Q's integration with Quantinuum Systems, and a new go-to-market offering for on-premise Helios systems paired... 🔹 Panel participation alongside leaders from NVIDIA and RIKEN on the future of hybrid quantum-classical supercomputing.

Momentum toward hybrid quantum-classical AI supercomputing is accelerating — and Quantinuum, with Helios, is at the forefront. Stay tuned! Quantinuum What’s interesting is that hybrid quantum–classical systems will eventually need a behavioural coherence layer on the AI side a way for models to stabilise meaning in real time. I’ve been mapping that layer across LLMs this year, and it already looks surprisingly aligned with the requirements of quantum-native reasoning. As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world’s hardest problems. Integrating quantum processing units (QPUs) into AI supercomputers is key for developing new applications, helping unlock breakthroughs critical to running future quantum hardware and enabling developments in quantum error correction and device control.

The NVIDIA Accelerated Quantum Research Center, or NVAQC, announced today at the NVIDIA GTC global AI conference, is where these developments will happen. With an NVIDIA GB200 NVL72 system and the NVIDIA Quantum-2 InfiniBand networking platform, the facility will house a supercomputer with 576 NVIDIA Blackwell GPUs dedicated to quantum computing research. “The NVAQC draws on much-needed and long-sought-after tools for scaling quantum computing to next-generation devices,” said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X at NVIDIA. “The center will be a place for large-scale simulations of quantum algorithms and hardware, tight integration of quantum processors, and both training and deployment of AI models for quantum.” Quantum computing innovators like Quantinuum, QuEra and Quantum Machines, along with academic partners from the Harvard Quantum Initiative and the Engineering Quantum Systems group at the MIT Center for Quantum Engineering, will work on...

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