Participants

Core Team Members

Team Director

Gregory Quiroz

Johns Hopkins University Applied Physics Laboratory

Gregory Quiroz is a senior staff scientist at the Johns Hopkins University Applied Physics Laboratory and a visiting scientist at Johns Hopkins University. His primary research interests include the development and implementation of quantum characterization and control protocols and the application of those protocols to robust quantum algorithm design. Dr. Quiroz received his B.S. in Physics and B.S. in Applied Mathematics from the University of California, Riverside in 2007. He received his Ph.D. in Physics from the University of Southern California in 2013.

Deputy Team Director

Fred Chong

University of Chicago

Fred Chong is the Seymour Goodman Professor in the Department of Computer Science at the University of Chicago. Chong received his Ph.D. from MIT in 1996 and was a faculty member and Chancellor's fellow at UC Davis from 1997-2005. He was also a Professor of Computer Science, Director of Computer Engineering, and Director of the Greenscale Center for Energy-Efficient Computing at UCSB from 2005-2015. He is a recipient of the NSF CAREER award, the Intel Outstanding Researcher Award, and 8 best paper awards. His research interests include emerging technologies for computing, quantum computing, multicore and embedded architectures, computer security, and sustainable computing.

Daniel Appelo

University of Colorado Boulder

Daniel's primary research interest is the development, analysis and implementation of fast, stable and accurate numerical algorithms for approximation of partial differential equations arising in engineering and natural sciences. Before joining University of Colorado Daniel was an Associate Professor at The University of New Mexico in Albuquerque. Daniel obtained a PhD in Numerical Analysis at NADA, KTH.

Adam Bouland

Stanford University

Adam Bouland is an Assistant Professor of Computer Science at Stanford University. His work focuses on understanding the computational power of near-term quantum devices, and more broadly on building connections between computer science and physics through the lens of computational complexity theory. He received his PhD from MIT in 2017 and was a postdoctoral researcher at UC Berkeley & the Simons Institute for the Theory of Computing prior to joining the Stanford faculty.

Anders Petersson

Lawrence Livermore National Laboratory

Anders Petersson is an applied mathematician in the Numerical Analysis and Simulation Group in the Centre for Applied Scientific Computing (CASC). His research interests lie in area of grid generation and numerical solution of partial differential equations. Anders earned his Ph.D. in Numerical Analysis from the Royal Institute of Technology in 1991. He joined the Lawrence Livermore Laboratory in 1999.

Lorenza Viola

Dartmouth College

Lorenza Viola is a Professor of Physics at Dartmouth, specializing in quantum information science. She obtained her Ph.D. in Theoretical Physics from the University of Padua, Italy (1996) and, after being a postdoctoral fellow at the Massachusetts Institute of Technology and a J. R. Oppenheimer Fellow at Los Alamos National Laboratory, she joined Dartmouth as an Associate Professor in 2004. Viola has given seminal contributions to the development of methods for controlling open quantum systems, including error-suppression techniques based on dynamical decoupling and dynamically corrected gates, and noiseless subsystems. Her recent work includes the development of a general filter-transfer function approach to open-loop quantum control and of protocols for quantum spectral estimation. She has been elected a Fellow of the American Physical Society in 2014.

Xiaodi Wu

University of Maryland

Xiaodi Wu is an Assistant Professor in the Department of Computer Science and Institute for Advanced Computer Studies at the University of Maryland, College Park and a Fellow at the Joint Center for Quantum Information and Computer Science (QuICS). Dr Wu received his Phd in theoretical computer science in 2013 from the University of Michigan, Ann Arbor. He received a B.S. degree in mathematics and physics in 2008 from the Academic Talent Program, Tsinghua University. His research aims to fill the gap between purely theoretical study of quantum applications and experimental implementation of quantum hardware and to achieve end-to-end quantum applications.

Will Zeng

Unitary Fund

Dr. Zeng runs a quantum technology research group at Goldman Sachs as well as the unitary fund, a non-profit research group dedicated to helping create a quantum technology industry that benefits the most people. Previously, he was at rigetti quantum computing, where he worked on topics across research, product and strategy. Dr. Zeng was product lead for building and launching rigetti's quantum cloud service on top of its superconducting QPUs and the forest quantum programming toolkit, including the open source libraries pyquil and grove. Dr Zeng's received his PhD from Oxford University.

Organizations