On September 6, 2025, a joint team from Academia Sinica (a Taiwanese research institution) and the Massachusetts Institute of Technology (MIT) announced the observation of a chiral superconducting state in a Fermi gas using an artificial intelligence (AI) algorithm based on self-attention neural networks. The analysis was performed on raw experimental data without a priori assumptions, enabling the identification of the px±ipy state through energy minimization and study of optimized wave functions, along with measurements of the binding energy, angular momentum, and long-range order in the density matrix. The discovery opens a path to develop materials capable of superconductivity at higher temperatures - potentially impacting the markets for quantum computing and low-loss power systems. There is no authoritative figure on the timeline for applying the findings to commercial or industrial scale quantum phenomena, putting artificial intelligence at the center of modern scientific innovation.
Seneca Academy and MIT (two research institutions) reveal chiral superconductivity.
