Edwin Pednault


Edwin Pednault


Distinguished Research Staff Member


IBM Research - Yorktown Heights Yorktown Heights, NY USA


Ed Pednault is a Senior Research Scientist in the IBM Quantum organization. His current research interests include quantum circuit knitting, gate calibration and pulse shaping, multilevel classification of measurement trajectories, and classical simulation of quantum circuits. His work on classical simulation pushed the boundaries on the complexity of quantum circuits that can be classically simulated using modern supercomputers, and it motivated a significant body of follow-on work by other research groups. Prior to getting involved in the quantum effort, Ed's previous research included work on parallel machine learning algorithms, AI planning systems, nucleic acid structure analysis, and Kolmogorov complexity. Ed holds numerous patents and has co-authored numerous technical papers in all of these areas. He also contributed the parallelized transform regression algorithm to IBM's InfoSphere Warehouse database product and subsequently led the team that developed the OLAP-style data preparation for data mining component for that same product. Ed holds a B.Eng. in Electrical Engineering from McGill University, an M.S. in Computer Science from Stanford University, and a Ph.D. in Electrical Engineering from Stanford University.