Delmar G. A. Cabral received his Bachelor's degree in Chemistry from the University of California, Berkeley. He is currently a Ph.D candidate in the Batista group at Yale university. His current research is focused on devising and applying quantum computing algorithms for the simulation of chemical reaction dynamics in hydrogen bonded complexes in closed and open quantum model systems. He has also dedicated efforts to investigate spin dependent dynamical processes and electronic structure calculations of molecular systems with NISQ computers.
Tingting Xu is a first-year PhD student in Chemistry at Yale University, focusing on applications of classical and quantum machine learning in chemistry. He graduated from Washington University in St. Louis in 2024 with a B.A. in Chemistry and Computer Science. Tingting is currently developing a quantum machine learning circuit using the cQED approach to predict molecular properties with only one qubit and one cavity.