Quantinuum

As we move away from NISQ machines and towards large scale fault-tolerance, we need to prepare richer, more realistic functions on our devices. Like many things in quantum computing, this is a trickier problem than one might think. We teamed up with the Instituto de Física Fundamental in Madrid to push the boundaries of how we prepare complex, high-dimensional functions of quantum hardware. To tackle this, we looked to tensor networks, a favorite tool of ours (https://lnkd.in/dtJsnzAM). Tensor networks are already a powerful tool for efficiently preparing one-dimensional functions on quantum computers. But real-world quantum applications often involve many-dimensional structure: from simulating physical systems to encoding complex probability distributions. Building on previous work, our team developed a new technique called Interpolative Quantum State Preparation (IQSP), designed specifically to handle these harder, multi-dimensional cases. This work will enable us to make strides in areas like quantum simulation, quantum machine learning, optimization and sampling, and even complex signal processing.  Read more here: https://lnkd.in/eXzchd9x

During a fantastic week at #SC25, HPCwire stopped by our booth to interview Dr. Nash Palaniswamy, CCO, and Mikail Shaikh, Offering Management Lead, on the rapid progress in hybrid quantum-classical computing. They highlighted several key developments: 𝗛𝗲𝗹𝗶𝗼𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 Helios now delivers industry-leading logical qubit performance with 48 error-corrected logical qubits generated at a remarkable 2:1 physical-to-logical qubit ratio—giving customers a platform they can build on today and carry into future system generations. https://lnkd.in/eB6ZSxje 𝗚𝘂𝗽𝗽𝘆: 𝗼𝘂𝗿 𝗻𝗲𝘄 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 We introduced Guppy, our next-generation language that unifies classical and quantum programming into a single workflow, enabling adaptive, parametric, and hybrid algorithms without complex recompilation. https://lnkd.in/e5icS465 𝗗𝗲𝗲𝗽𝗲𝗻𝗶𝗻𝗴 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝘄𝗶𝘁𝗵 NVIDIA Our partnership spans NVIDIA CUDA-Q integration, GH200 for real-time decoding, participation in the NVIDIA Accelerated Quantum Research Center (NVAQC), joint work on NVQLink, and a combined Helios + GB200 offering for hybrid quantum-AI-HPC deployments. https://lnkd.in/ePWySyVg 𝗘𝘅𝗽𝗮𝗻𝗱𝗶𝗻𝗴 𝗴𝗹𝗼𝗯𝗮𝗹 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 We also highlighted our strategic partnership in Singapore to grow quantum talent, R&D, and applications—supported by a Helios system in country. https://lnkd.in/eCHhTPVv Watch the interview here: https://lnkd.in/em4istDc

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 HPC + quantum computing is becoming a central part of the conversation — and Quantinuum showed up in a big way.   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 processors — including Quantinuum Systems. 🔗 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 with NVIDIA GB200. 🔹 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!

Can quantum ideas make smaller AI models smarter? In the #LLM era, large models dominate the discourse, but deploying smaller, offline models is increasingly vital for privacy and edge applications. That’s where knowledge distillation comes in: training compact models to mimic larger ones. Our latest work introduces Quantum Relational Knowledge Distillation, a new approach that maps data into quantum states and leverages quantum relationships – like entanglement-inspired structures – to improve the knowledge distillation process. Our research demonstrates that incorporating this quantum information technique into the knowledge distillation process enhances the smaller, ‘student model's’, performance on some widely used benchmark text datasets. This work will be presented at the NeurIPS 2025 UniReps workshop. Read more about this exciting advance here: https://lnkd.in/eZntcwey

Live from #SC25 🚨 NVIDIA NVQLink, the first universal interconnect for quantum-classical computing, is being adopted by leading supercomputing centers worldwide. Over a dozen facilities across the U.S., Europe, Middle East and Asia are using it to advance quantum-classical research and development. Read more: https://nvda.ws/4nXjvHD

If you're a developer or researcher attending #SC25, registration is open to join Quantinuum for technical tutorials today and tomorrow designed to help you explore the next generation of quantum and hybrid computing. At Booth #4432, our experts will walk through: 🧩 Architecture insights into Helios, our next-generation trapped-ion system ⚙️ A guided tour of Nexus, our integrated quantum computing platform 🔗 Building hybrid workflows, including the integration of NVIDIA CUDA-Q and Quantinuum Systems These sessions are built for hands-on learners who want practical exposure to real quantum hardware and software. Save your spot and register for a Quantinuum-led tutorial at SC25 (SC Conference Series): https://lnkd.in/efpbuFgs

Quantinuum is deepening its long-standing partnership with NVIDIA to accelerate the convergence of quantum computing and AI and redefine what's possible in hybrid quantum–classical computing by uniting our best-in-class systems with NVIDIA’s high-performance GPUs.   With the launch of Helios, the world’s most accurate quantum computer, and new integrations with NVIDIA GB200, NVQLink, CUDA-Q, and Guppy, we are advancing hybrid quantum–AI computing.   Two key updates:   ▪️In an industry-first demo, an NVIDIA GPU-based decoder in Helios improved logical fidelity by more than 3%, showing how NVIDIA accelerated computing can enhance quantum accuracy and scalability. ▪️Quantinuum, NVIDIA, and a pharma industry leader used #GenQAI to achieve a 234x speed-up in generating training data for complex molecules.   More details in our latest blog: https://lnkd.in/ePWySyVg

We’re excited to join the world’s leading HPC researchers, engineers, and innovators at #SC25 this week in St. Louis! Visit us at Booth #4432, where we'll be showcasing the technologies defining the next era of hybrid quantum-classical compute, including: • Our new Helios replica and the Helios chip, representing the next frontier in trapped-ion quantum architecture • Expert-led tutorials of Helios, Nexus, and hybrid workflows, including integrating NVIDIA CUDA-Q with Quantinuum Systems Find details on our speaking sessions and register for Quantinuum-hosted technical tutorials here: https://lnkd.in/erptE3QU

This timely overview of 2025 quantum milestones highlights how rapidly quantum is becoming a core element of modern technology strategy. This year has been marked by accelerated investment, major advances in hardware power, and accuracy and in the foundations for real-world applications. For leaders shaping long-term infrastructure, security, and innovation roadmaps, this Network World article offers 10 good reasons why quantum is on a concrete path to delivering a material impact on competitiveness, resilience, and future-proofing. The time to act is now. Discover Quantinuum's role in achieving these milestones: https://lnkd.in/dtPCc53v

🎊 Quantinuum is sponsor of the Quantum Festival 2025 🎊 Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 640 employees, including 450+ PhDs and Masters, across the US, UK, Germany, and Japan, are driving the quantum computing revolution. 🌐 Explore the full-suite of Quantinuum’s hardware and software stack: https://lnkd.in/d6VfJ8mR