Steven Gassner, B.S. in Nanoscale Science & Applied Mathematics from SUNY Polytechnic Institute in 2020 and current Ph.D. student in Physics at the University of Pennsylvania, and Dr. Carlo Cafaro, SUNY Poly applied mathematics assistant professor, collaborated with Dr. Sean A. Ali, physics faculty at the Albany College of Pharmacy and Health Sciences, and with the Air Force Research Laboratory-Information Directorate’s Quantum Information Processing Group Lead and Principal Research Physicist, Dr. Paul Alsing, on a statistical-quantum physics work published in the International Journal of Geometric Methods in Modern Physics by the World Scientific Publishing Company-Connecting Great Minds.

The research paper, “Information Geometric Aspects of Probability Paths with Minimum Entropy Production for Quantum State Evolution,” presents an in-depth description of the efficiency of optimum cooling paths emerging from quantum mechanical evolutions of relevance in quantum searching problems. The work is an extended/unabridged version of a short 2020 paper by Cafaro and Alsing published in the Physical Review E by the American Physical Society.

The team’s published research can be read here:  

i)                The 2020 PRE, https://journals.aps.org/pre/abstract/10.1103/PhysRevE.101.022110

ii)              The 2021 IJGMMP, https://www.worldscientific.com/doi/10.1142/S0219887821501279