How Quantum Computers Are Hunting Room-Temperature Superconductors

Episode 132 of The Quantum Computing Podcast with Lucas and Luna explores how quantum computers are starting to discover the next generation of materials that will make quantum hardware better. We dive into a recent simulation on an IBM 127-qubit processor by the University of Chicago, targeting the iron-based superconductor FeSe. Using variational quantum eigensolvers and error mitigation, researchers narrowed down promising doping regimes that could hint at room-temperature superconductivity. We discuss how this feedback loop — quantum computers aiding materials discovery for better qubits — is accelerating, even in today's noisy intermediate-scale quantum (NISQ) era. Also: how the same methodology applies to battery electrolytes and catalysts, and why quantum simulations are becoming a practical filter for experimentalists. #QuantumComputing #Superconductors #MaterialsScience #IBM #Qubits #UniversityOfChicago #RoomTemperatureSuperconductor #VQE #ErrorMitigation #Technology #FexingoBusiness #BusinessPodcast #Podcast #Quantum #Research #Innovation #Physics #ComputerScience Keep every episode free: buymeacoffee.com/fexingo