Lincoln Carr
Prof. Lincoln D. Carr received his B.A. from the University of California, Berkeley, and his M.S. and Ph.D. in Physics from the University of Washington, Seattle. He is an IEEE Senior Member, a Fellow of the American Physical Society, a Kavli Fellow and a Jefferson Science Fellow of the National Academies of Sciences, Engineering, and Medicine, an Alexander von Humboldt Fellow, a National Science Foundation Distinguished International Fellow, and an Embassy Science Fellow of the U.S. Department of State. He is an Honors Faculty Fellow and Payne Institute for Public Policy Fellow at the Colorado School of Mines, where he is a Professor in the Quantum Engineering Program and the Physics Department, and a Graduate Faculty Advisor in the Applied Mathematics and Statistics Department. His research brings together complexity theory, quantum information science and engineering, education, condensed-matter physics, atomic, molecular, and optical physics, nonlinear dynamics, computational physics, and applied mathematics, pushing the frontiers of complexity theory in the quantum world. To date he has mentored over 100 students in research, received over 10 million in grant funding and fellowships, and published over 160 articles and books with over 16,000 citations. He has taught for over 30 years in science and engineering, social sciences, and the humanities on topics ranging from quantum physics and engineering to revolutions in science, literature, and society to science and engineering diplomacy. Other career paths he has explored include ranching, theatre actor, and dishwasher. Besides physics, math, and engineering he enjoys writing and performing poetry, philosophical inquiry and dialectic, board and video gaming, mountain climbing, hiking, yoga, and world travel.
Alessandro Castelli
Dr. Alessandro Castelli is a staff scientist in the Quantum Coherent Device Physics Group (QCDPG) at Lawrence Livermore National Laboratory (LLNL). He received his PhD in superconducting microwave device physics from UC Merced in 2018 and started as a postdoctoral researcher at LLNL soon after. His research interests include optimal control quantum algorithms and superconducting microwave device design, simulation, and characterization.
Yujin Cho
Dr. Yujin Cho is a Postdoctoral researcher in the Quantum Coherent Device Physics group at Lawrence Livermore National Laboratory. Her current research interests include understanding two level system defects on superconducting quantum processing chips and optimal control of them. She completed her Ph.D. at the University of Texas at Austin in 2019 in condensed matter physics and joined Lawrence Livermore National Lab in 2021.
Hilary Hurst
Dr. Hilary M. Hurst is an Assistant Professor at San Jose State University in the Physics & Astronomy Department. She is a quantum educator and theoretical physics researcher, with broad interests in condensed matter theory, many-body atomic physics, and open quantum systems. Her research primarily focuses on the theory of quantum measurement and feedback control for many-body quantum systems. In addition to research, Dr. Hurst is passionate about making quantum physics education more accessible and preparing students to work in the growing quantum technology industry. She develops new coursework and curricular materials for undergraduates focused on quantum information science.
Luis Martinez
Dr. Luis Martinez is a staff scientist in the Quantum Coherent Device Physics Group (QCDPG) at Lawrence Livermore National Laboratory (LLNL). He received his bachelor’s degree in physics from UC Berkeley and his PhD in experimental physics from UC Merced. Currently, his research interests are in the field of quantum information science where he has applied machine learning algorithms for improving qubit readout, studying decoherence in transmon qubits, and characterizing superconducting quantum devices for applications in cavity quantum electrodynamics and sensing.
Yaniv Rosen
Dr. Yaniv Rosen is a staff scientist at Lawrence Livermore National Laboratory (LLNL) in Livermore, CA. He received his undergraduate degree in Physics from UC Berkeley and his PhD in Condensed Matter Physics from UC San Diego. Since receiving his PhD degree he has held postdoctoral research appointments at the Laboratory for Physical Sciences in College Park, Maryland and at LLNL in Livermore, CA. His research focuses on quantum coherent devices and quantum information for next generation quantum computing and sensing platforms.
Daniel Tennant
Dr. Daniel Tennant is a Senior Quantum Engineer at Rigetti Computing, a Full-Stack Quantum Computing company headquartered in the Bay Area. He completed his PhD at the University of Texas in 2017 in the research group of Dr. Raymond Orbach studying magnetic properties of mesoscopic spin glass materials. Afterwards he accepted a joint Postdoctoral Fellow position at the University of Waterloo and MIT Lincoln Laboratories developing technologies for superconducting quantum annealing processors. Following this, he worked at Lawrence Livermore National Laboratory as a Postdoctoral Researcher where his research focused on the detection, identification, and mitigation of noise sources in superconducting quantum devices. He currently utilizes the expertise gained at these research positions to design, test, and produce commercially viable quantum processing units at industry scale.
Hiu-Yung Wong
Dr. Hiu Yung Wong is an Associate Professor in the Electrical Engineering department at San Jose State University. He received his Ph.D. degree in EECS from the UC, Berkeley in 2006. From 2006 to 2009, he worked as a Technology Integration Engineer in Spansion. From 2009 to 2018, he was a TCAD Senior Staff Application Engineer in Synopsys, during which he received the Synopsys Excellence Award in 2010. In 2021, he received the NSF CAREER award and the Newnan Brothers Award for Faculty Excellence. He is the author of the book, "Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps". His research interests include the applications of machine learning in simulation, cryogenic electronics and quantum computing.