Jorge Campos

Dr Jorge Campos-González-Angulo develops theoretical and computational models for quantum molecular systems, working at the interface of quantum chemistry, molecular photonics, and quantum computing. His research is part of the quantum decarbonisation mission of the Queensland Quantum Decarbonisation Alliance, providing the physical models needed to simulate and engineer molecular systems for clean energy and quantum technology applications. His work on light–matter interaction spans from single molecules to collective quantum optical regimes, with applications in the design of organic light-emitting materials for sustainable electronics. A parallel line of research develops reduced models for spin-vibronic systems at molecule–electrode interfaces, with relevance to quantum sensing and electrochemical energy conversion. He also builds physically motivated molecular models that serve as rigorous benchmarks for fault-tolerant quantum computers, connecting advances in quantum hardware directly to chemical problems of practical importance. Jorge completed his PhD in Chemistry at the University of California San Diego, where he worked with Prof. Joel Yuen-Zhou on foundational problems in vibropolaritonic chemistry. He then joined the Matter Lab of Prof. Alán Aspuru-Guzik at the University of Toronto as a Postdoctoral Fellow, where he was also an affiliate of the Vector Institute for Artificial Intelligence. He joined the University of Queensland in 2026 as a Lecturer jointly appointed in the Schools of Mathematics & Physics and Chemistry & Molecular Biosciences, and is a Chief Investigator at the ARC Centre of Excellence in Quantum Biotechnology (QUBIC). Atomic and molecular physics, Atomic, molecular and optical physics, Chemical Sciences, Computational chemistry, Nonlinear optics and spectroscopy, Physical Sciences, Quantum information, computation and communication, Quantum optics and quantum optomechanics, Quantum physics, Quantum technologies, Radiation and matter, Statistical mechanics in chemistry, Theoretical and computational chemistry, Theoretical quantum chemistry

[2026] Faster Algorithmic Quantum and Classical Simulations by Corrected Product Formulas. Bagherimehrab, Mohsen, Mantilla Calderón, Luis, Berry, Dominic W., Schleich, Philipp, Ghazi Vakili, Mohammad, Aldossary, Abdulrahman, Campos Gonzalez Angulo, Jorge A., Gorgulla, Christoph and Aspuru-Guzik, Alán (2026). Faster Algorithmic Quantum and Classical Simulations by Corrected Product Formulas. PRX Quantum, 7 (3) 033018, 3. doi: 10.1103/phk5-slkl [2026] Chemically motivated simulation problems are efficiently solvable on a quantum computer. Schleich, Philipp, Kristensen, Lasse Bjørn, Campos-Gonzalez-Angulo, Jorge A., Aldossary, Abdulrahman, Avagliano, Davide, Bagherimehrab, Mohsen, Gorgulla, Christoph, Fitzsimons, Joe and Aspuru-Guzik, Alán (2026). Chemically motivated simulation problems are