Quantinuum and GE Vernova collaborate to advance High-Temperature Superconductivity research. October 27, 2026 Press play to listen to this content Oct. 27, 2026 - Quantinuum and GE Vernova's Advanced Research Center are launching a collaboration to apply quantum computing to one of the research community's most consequential challenges: understanding the behavior behind high-temperature superconductivity. Advances in this field could, over the long term, transform the energy sector by enabling lighter generators, more compact and powerful motors, and electricity infrastructure that carries more power and better withstands faults. The research will focus on Fermi-Hubbard modeling, a framework for studying how interacting electrons give rise to complex material properties. By combining Quantinuum's full-stack quantum computing capabilities - including access to the company's Helios computer - with GE Vernova's expertise in material science and engineering simulation applied to industrial applications, the collaboration will bring an industry perspective to a promising area of quantum research. Why Superconductors Matter for Energy As energy systems grow, the size, weight, and performance of electrical equipment become increasingly important constraints. High-temperature superconductors offer potential ways to address those limits through their ability to carry large electrical currents without resistance under suitable operating conditions. Potential applications span power generation, electricity grids, and industrial electrification. Superconducting generators could reduce the weight and footprint of industrial equipment. Superconducting windings could also help make utility generators and industrial or marine propulsion motors more compact and efficient. In electricity networks, superconducting cables could carry more power through constrained spaces, while fault current limiters could help protect equipment during short circuits. Realizing those benefits more widely depends on overcoming challenges in cooling, material performance, manufacturing, and cost. Better understanding of the physics behind high-temperature superconductivity could help inform the search for materials with more practical operating characteristics. Why Quantum Computing May Offer New Tools for Understanding High-Temperature Superconductivity High-temperature superconductivity involves the collective behavior of strongly interacting electrons. Accurately modeling these systems is exceptionally difficult: the interactions that make them scientifically interesting also make important aspects of their behavior computationally challenging. The Fermi-Hubbard model captures essential features of those interactions in a simplified mathematical framework. Although it is not a complete description of a material used in industrial applications, it provides a foundation for investigating mechanisms associated with high-temperature superconductivity. Quantum computing offers a promising way to explore the physics. Quantinuum researchers have already measured superconducting pairing correlations - including s-wave and d-wave pairing - in Fermi-Hubbard models simulated on the Helios quantum computer. These results demonstrate the ability to prepare and probe quantum states relevant to superconductivity research, establishing a foundation for further investigation. The collaboration with GE Vernova will build on that foundation, bringing industrial expertise to the selection and interpretation of research questions. Connecting Quantum Capabilities with Industrial Expertise The research will be enabled through access to Quantinuum's full-stack capabilities, including cloud-based access to Helios, the world's most accurate quantum computer, and Nexus, Quantinuum's developer platform. Nexus connects quantum hardware with the software tools researchers need to develop and run applications in a unified environment. GE Vernova's Advanced Research Center brings the expertise in material science, engineering, and industrial applications to the research and development activity. "High-temperature superconductors could help us overcome important limits on the size, weight, and efficiency of electrical equipment, but understanding and improving these materials remains a significant scientific challenge," said Jonathan Owens, PhD, Senior Scientist, Computational Materials Physics at GE Vernova. "By combining our materials simulation and industrial expertise with Quantinuum's quantum computing capabilities, we can explore new approaches to these difficult problems while building the expertise to assess where quantum computing can make a meaningful contribution." The collaboration also extends GE Vernova's exploration of quantum computing into a new area of materials research while supporting the development of its internal quantum talent. Its previous published work includes investigations of quantum algorithms for carbon-capture materials using simulated quantum processors. Building Toward Industrial Value Translating insights from simplified models into practical materials requires sustained scientific and engineering work. Industrial expertise helps connect that effort to the properties, operating conditions, and manufacturing considerations that ultimately determine a material's usefulness. For Quantinuum, this collaboration is an opportunity to advance quantum simulation with an industrial collaborator that understands both the potential applications and the barriers to adoption. It brings together demonstrated computing capabilities, a challenging materials problem, and the expertise needed to connect scientific progress with industrial requirements. The research collaboration aims to deepen understanding of this field and explore how quantum computing may contribute to future energy technologies. About Quantinuum Quantinuum (NASDAQ: QNT) is a leading quantum computing company offering a full-stack platform designed to make quantum computing deployable in real-world environments. The company has commercially deployed multiple generations of trapped-ion based quantum systems built on the well-established QCCD architecture, which it has implemented with novel designs and capabilities to achieve the industry's highest accuracy levels based on average two-qubit gate fidelity. Quantinuum has active engagements with market leaders across pharmaceuticals, material science, financial services, and government and industrial markets, as well as academic and research institutions globally. The company has a global workforce of approximately 800 employees, including top scientists and researchers. Over 70% of its technology team holds PhDs or Master's degrees. Quantinuum's headquarters is in Broomfield, Colorado, with additional facilities across the United States, United Kingdom, Germany, Japan, Qatar, and Singapore. For more information, please visit www.quantinuum.com. Quantinuum says a new error-correction result on its Helios quantum computer gives it greater confidence... For all the talk about a shortage of AI computing power, and the need for... The Department of Energy today unveiled a dozen Phase II awards for its Genesis Mission... DARPA announced today that Atom Computing, Diraq, IBM and IonQ have advanced to the final... The U.S. Department of Energy is launching a competition with up to $215 million in planned... OpenAI says one of its AI systems has solved a math problem that has stumped...

BofA Securities remains upbeat on quantum computing stocks, naming trapped-ion technology as its preferred approach. It expects the shares to stay volatile but is confident leading companies can reach quantum advantage before 2030. It rates IonQ a Buy. The company won a DARPA Quantum Benchmarking Initiative Stage C selection worth up to $300 million and completed a $2 billion stock offering at $40 per share. It is also buying cybersecurity firm Elisity for up to $1.3 billion in stock, with closing expected in the fourth quarter. BofA also rates Quantinuum a Buy despite a recent selloff. The company holds $2.1 billion in cash and leads peers in logical qubits, though it remains in DARPA's Stage B.