Rate My Professor George Siopsis

A theoretical high-energy physicist, George Siopsis has contributed extensively to quantum gravity, holography, entanglement, the black hole information paradox, and applications to condensed matter physics. His current research centers on quantum computing and quantum information processing, conducted in collaboration with the Quantum Information Science group at Oak Ridge National Laboratory. He leads the Quantum Technologies Group, has developed and taught a graduate-level course on Quantum Computation and Quantum Information, and has supervised numerous students at various levels. Siopsis has authored over 100 publications, including key works such as "Quantum simulation for high-energy physics" (2023), "Multi-angle quantum approximate optimization algorithm" (2022), "Practical quantum computation of chemical and nuclear energy levels using quantum imaginary time evolution and Lanczos algorithms" (2020), "Analytic calculation of properties of holographic superconductors" (2010), and "Quantum machine learning over infinite dimensions" (2017). In 2024, he was honored by the University of Tennessee Alumni Association for outstanding teaching and distinguished service. His leadership has facilitated major funding, including a $3 million NSF award for a quantum networks research and training program and collaborations such as a CRADA with the Army Research Laboratory.