Anne Broadbent is a Full Professor and Canada Research Chair at the University of Ottawa in the Department of Mathematics and Statistics.
Broadbent is interested in quantum cryptography, complexity and nonlocality; her current investigations involve quantum protocols for delegating private quantum computations as well as for performing secure quantum computations.
Previously, Broadbent held an NSERC post-doctoral fellowship, at IQC. She completed both an M.Sc. and a Ph.D under the supervision of Gilles Brassard and Alain Tapp at the Université de Montréal. She holds a B.Math in Combinatorics and Optimization from the University of Waterloo.
Harry Buhrman is chief scientist quantum algorithms & innovation at Quantinuum. He is also professor of algorithms, complexity theory, and quantum computing at the University of Amsterdam (UvA), and founding director of QuSoft, a research center for quantum software, which he co-founded in 2015. In 2020 he was elected as a member of the Royal Netherlands Academy of Arts and Sciences.
In the late 90’s he built the first quantum computing group in the Netherlands, which was one of the first groups worldwide working on quantum information processing. Buhrman’s research focuses on quantum computing, algorithms, and complexity theory. He co-developed the area of quantum communication complexity (distributed computing), and demonstrated for the first time that certain communication tasks can be solved (exponentially) more efficient with quantum resources. This showed that quantum computers can not only speed up computations, but also communication – which opened up a whole new application area of quantum information processing. Buhrman co-developed a general method to establish the limitations of quantum computers, and a framework for the study of quantum query algorithms, which is now textbook material.
He obtained a prestigious Vici-award and has coordinated several national and international quantum computing projects. He is a member of the Scientific Advisory Board of the Max Planck Institute for quantum optics, WACQT (Sweden), and IQC (Canadian). He started and chaired the first steering committee for QIP, the main international conference on quantum information processing. Current research interests are: Quantum Computing, Quantum Information Theory, Quantum Cryptography, Computational Complexity Theory, Kolmogorov complexity, Distributed Computing, Computational Learning Theory, and Computational Biology.
Mikhail Lukin received his Ph.D. degree from Texas A&M University in 1998. He has been a Professor of Physics at Harvard since 2004, where he is currently the Joshua and Beth Friedman University Professor and a co-Director of the Harvard Quantum Initiative in Science and Engineering. He is a fellow of the American Physical Society (APS), a fellow of the Optical Society of America (OSA), a fellow of the American Association for the Advancement of Science (AAAS) and a member of the National Academy of Sciences. His research is in the areas of quantum optics and quantum information science, aimed at controlling strongly interacting atomic, optical and solid-state systems, studying quantum dynamics of many-body systems and exploring novel applications in quantum computing, simulations, quantum communication and metrology. He has co-authored over 500 technical papers. His awards include the Alfred P. Sloan Fellowship, David and Lucile Packard Fellowship for Science and Engineering, NSF Career Award, Adolph Lomb Medal of the OSA, AAAS Newcomb Cleveland Prize, APS I.I.Rabi Prize, Vannevar Bush Faculty Fellowship, Julius Springer Prize for Applied Physics, Willis E. Lamb Award for Laser Science and Quantum Optics, Charles Hard Towns Medal of the OSA and Norman F. Ramsey Prize of APS.
John Preskill is the Richard P. Feynman Professor of Theoretical Physics at the California Institute of Technology, and Director of the Institute for Quantum Information and Matter at Caltech. Preskill received his Ph.D. in physics in 1980 from Harvard, and joined the Caltech faculty in 1983. Preskill began his career in particle physics and cosmology, but now his main research area is quantum information science. He's interested in how to build and use quantum computers, and in how our deepening understanding of quantum information can illuminate issues in fundamental physics. Preskill is a member of the National Academy of Sciences, a fellow of the American Physical Society, and a two-time recipient of the Associated Students of Caltech Teaching Award. He has mentored more than 60 Ph.D. students and more than 60 postdoctoral scholars at Caltech, many of whom are now leaders in their research areas.
Bill Fefferman is an assistant professor in the Department of Computer Science at the University of Chicago. His research explores the power of quantum computers in both the near-term and the indefinite future. Fefferman is the recipient of a 2020 NSF CAREER award, a 2018 Young Investigator Award from the Air Force Office of Scientific Research, and a 2022 Google Scholar Award. Before coming to Chicago, he held research positions at the University of Maryland/National Institute of Standards and Technology and the University of California at Berkeley. Fefferman received his Ph.D. in computer science in the Department of Computer and Mathematical Sciences and the Institute for Quantum Information and Matter at Caltech.
Michael Foss-Feig is a physicist at Quantinuum (previously Honeywell Quantum Solutions), working on quantum simulation using trapped ion quantum processors. He was previously a physicist at the Army Research Lab, a postdoctoral scholar in the Joint Quantum Institute and a member of QuICS.
Aarthi Sundaram is a researcher at Microsoft Quantum. Her research interests span classical and quantum complexity theory. Sundaram received her doctorate in computer science from the National University of Singapore in 2017, and was a QuICS Hartree Postdoctoral Fellow in quantum information and computer science from 2017 to 2019.
Minh Tran is a research scientist at IBM Quantum. He received his Ph.D. from the Joint Center for Quantum Information and Computer Science at the University of Maryland in 2021. After completing his degree, Minh worked as a postdoctoral researcher at MIT before coming to IBM. Tran 's work explores the intricate connections between quantum algorithms and quantum many-body physics.