27 October 2026. Quantinuum and GE Vernova's Advanced Research Center are launching a collaboration to apply quantum computing to the study of high-temperature superconductivity. The research will focus on Fermi-Hubbard modeling, a framework for studying how interacting electrons give rise to complex material properties.
The collaboration combines Quantinuum's full-stack quantum computing capabilities, including cloud-based access to its Helios computer and the Nexus developer platform, with GE Vernova's expertise in material science and engineering simulation for industrial applications. Helios is described as the world's most accurate quantum computer, based on two-qubit gate fidelity as of December 31, 2025.
Quantinuum researchers have already measured superconducting pairing correlations, including s-wave and d-wave pairing, in Fermi-Hubbard models simulated on Helios. The company said these results show the ability to prepare and probe quantum states relevant to superconductivity research, and the GE Vernova collaboration will build on that work.
GE Vernova's Advanced Research Center will bring material science, engineering and industrial application expertise to the selection and interpretation of research questions. The company's previous published work includes investigations of quantum algorithms for carbon-capture materials using simulated quantum processors.
"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 release states that wider use of high-temperature superconductors depends on overcoming challenges in cooling, material performance, manufacturing and cost. The collaboration aims to deepen understanding of the field and explore how quantum computing may contribute to future energy technologies.
Source: The Quantum Insider
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