Alessandro Castelli
Dr. Alessandro Castelli is a staff scientist in the Quantum Coherent Device Physics Group at Lawrence Livermore National Laboratory. 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 staff scientist 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 the lab in 2021.
Luis Martinez
Dr. Luis Martinez is a staff scientist in the Quantum Coherent Device Physics Group at Lawrence Livermore National Laboratory. 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 the Group Leader in the Quantum Coherent Device Physics Group at Lawrence Livermore National Laboratory. 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 Lawrence Livermore National Laboratory. His research focuses on quantum coherent devices and quantum information for next generation quantum computing and sensing platforms.
Imran Bashir
Dr. Bashir received the B.S.E.E. degree from the University of Texas at Arlington in 2001 and the M.S.E.E. and Ph.D. degree from the University of Texas at Dallas in 2008 and 2014. He joined Texas Instruments in 2002 and was elected to the prestigious title of Group Member of Technical Staff in 2006. He played a key role in the productization of GSM/EDGE SoCs based on the Digital RF Processor DRP TM technology. In 2009, he joined NVidia Inc. and worked on 2G/3G/4G multi-mode cellular radios. In 2014, he worked as a Mixed-Signal IC Designer with a start-up called Senseeker Engineering Inc. where he designed read-out circuits for IR image sensors. During the Fall of 2015, he was a Senior Research Fellow at the School of Electrical and Electronic Engineering at University College Dublin (UCD), Dublin, Ireland. In 2016, he joined Cypress Semiconductor Corp. as an RF/Analog IC design engineer working on connectivity ICs. In August 2019, Imran joined Equal1 Labs Inc. where he is currently the VP of Analog Engineering and is working on highly integrated and scalable Quantum Processors. Imran has multiple patents and conference papers in the field of Digital Polar Transmitters, Injection Locked Oscillators, and Cryogenic Electronics for Quantum Processors.
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 two books, "Introduction to Quantum Computing: From a Layperson to a Programmer in 30 Steps" and "Quantum Computing Architecture and Hardware for Engineers". His research interests include the applications of machine learning in simulation, cryogenic electronics and quantum computing.
Ehsan Khatami
Dr. Khatami is a Professor at San Jose State University in the Physics & Astronomy Department. He received his PhD in physics from the University of Cincinnati in 2009 and has worked as a research scholar at Louisiana State University, Georgetown University, UC Santa Cruz, and UC Davis before joining San Jose State University in 2014. He won the university's Early Career Investigator Award in 2018. He is a quantum educator who has developed new coursework and curricular materials for the newly established Masters of Science in Quantum Technology degree program at San Jose State University. His research interests are in quantum simulations of strongly-interacting electronic systems, and the use of machine learning and other numerical methods in quantum physics.