University of Kwazulu-Natal

Quantinuum Nvidia Launch New Hybrid Quantum Platform

Bonisiwe Shabane
-
quantinuum nvidia launch new hybrid quantum platform

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. 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. 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 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. 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.

People Also Search

Quantinuum Is Focusing On Redefining What’s Possible In Hybrid Quantum–classical

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 qua...

These Results Demonstrate How Integration With NVIDIA Accelerated Computing Through

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. De...

Building The Basic Architecture Required For A New Generation Of

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...

The Businesses Are Introducing A New Go-to-market Product By Combining

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. Quantum computing’s promise has long rested o...

In Practice, That Means Using Deep-learning Models To Optimise Quantum

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 framewor...