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Dr. Daniel Soh received his first PhD in high power fiber lasers from University of Southampton, UK, in 2005. He developed and commercialized high power lasers in silicon valley companies including JDSU until he joined Sandia National Laboratories in 2009. Initially, Dr. Soh contributed to Sandia’s high power laser development. In 2013, he turned his interest to quantum information science. He went back to college for reeducation and obtained his second PhD on quantum dynamical systems from Stanford University in 2019. His recent interests are quantum communications, quantum computing, quantum sensing, and quantum networks. He has published more than 70 peer-reviewed journal articles and has authored 10 granted US patents.
Kevin Young is a staff scientist at Sandia National Laboratories with broad expertise in physical implementations of quantum computing. Kevin is the co-director of Sandia’s Quantum Performance Laboratory, a multidisciplinary research and development group within Sandia National Laboratories that develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware.
Kevin earned both a BS in Physics and Mathematics and a BA in Chemistry at the College of Charleston in South Carolina. He received his PhD in Physics from the University of California, Berkeley, where he specialized in robust quantum optimal control theory and modeling of semiconducting qubit platforms. At Sandia his work focuses on identifying and mitigating errors in real quantum hardware, modeling low-level device physics of trapped-ion quantum computers, and participating in a number of standards making and advising organizations. He actively collaborates with experimental quantum computing groups across the globe.
Kevin is the recipient of the Department of Energy’s Early Career Award, a prestigious award granted to further the individual research programs of outstanding scientists with demonstrated successful research activities and potential for solving important problems to the US government. His research under this award focuses on developing fast and efficient calibration methods for quantum computers that work for all qubit technologies and can operate efficiently at scale.
Andy Mounce has research experience in condensed matter physics, semiconductor qubits, nitrogen vacancy magnetometry, and defects in wide band gap semiconductors. His expertise includes utilizing quantum information science techniques for understanding basic properties of quantum materials and quantum information relevant materials, such as superconductors, strongly correlated electronic materials, magnetic materials, and topological phases in materials. These techniques include cryogenic amplification, optically detected magnetic resonance, nitrogen vacancy detected magnetometry, photoluminescence, and bulk spin-resonance. Additionally, he is using machine learning in image analysis techniques, such as compressive sensing and neural networks, to both optimize experimental implementations and analysis.
Principal Project Specialist at the Argonne National Laboratory and a Senior Scientist in Department of Computer Science at University of Chicago Consortium for Advanced Science and Engineering. He is a senior member of IEEE society and a member of Chicago Quantum Exchange. His research involves development of quantum computing algorithms, error correction/mitigation techniques, and numerical simulator of quantum systems using high-performance computing on next-generation high-performance supercomputers. The recent projects include development of quantum chemistry and combinatorial optimization quantum algorithms for NISQ quantum computers.
Dr. Alexeev received his PhD in Physical Chemistry from Iowa State University while a graduate student in Mark Gordon’s quantum chemistry group. After graduation, Dr. Alexeev became a postdoctoral fellow at Pacific Northwest National Laboratory and worked in the NWChem group led by Dr. Theresa Windus; later, he joined the Nobel Prize winner Dr. Martin Karplus’ group at Harvard University and Université de Strasbourg.
- Quantum Algorithms
- Quantum Chemistry Algorithms
- Quantum Combinatorial Optimization Algorithms
- Classical and Quantum Machine Learning
- Quantum Simulators
- High Performance Computing and Parallel Computing
Title: Associate Computational Scientist, Quantum Computing Group, Computational Science Initiative, Brookhaven National Laboratory
Expertise: Quantum Information Science
Description: Ning Bao’s research is focused on quantum information theory and quantum information science more broadly, particularly with an eye toward entanglement measures and applications of ideas from quantum information science to other aspects of physics. Before arriving at Brookhaven, he completed postdoctoral positions at Caltech and University of California, Berkeley and did his graduate work at Stanford University.
Salman Habib is the Director of Argonne’s Computational Science (CPS) Division and an Argonne Distinguished Fellow. He holds a joint position in Argonne’s Physical Sciences and Engineering (PSE) Directorate, and has joint appointments at the University of Chicago and Northwestern University. Habib’s interests cover a broad span of research, ranging from quantum field theory and quantum information to the formation and evolution of cosmological structures.
Habib has been deeply involved in the application of large-scale supercomputing to attacking problems in the physical sciences, including beam dynamics in accelerators, nonequilibrium quantum and classical field theory, quantum dynamical systems, and the formation of cosmic structure. This has led to algorithm and code development on a variety of platforms, beginning with the Connection Machines in the early 1990′s and leading on to the exascale systems, Aurora and Frontier, soon to be installed at Argonne and Oak Ridge. Over the last two decades, he has led efforts — with cosmology as the primary arena — to apply advanced statistical methods to complex inference problems with very large datasets, using supercomputer-based forward model predictions. Habib leads the ExaSky effort within DOE’s Exascale Computing Project (ECP), and is a member of the cosmological surveys, Cosmic Microwave Background – Stage IV (CMB-S4), Dark Energy Survey Instrument (DESI), the Legacy Survey of Space and Time (LSST), and the NASA mission SPHEREx.
Habib received his Ph.D. from the University of Maryland in physics after carrying out his undergraduate work at the Indian Institute of Technology, Delhi, India. Following his PhD, he was a postdoctoral fellow at the University of British Columbia, and later, a postdoc and staff member in the Theoretical Division at Los Alamos National Laboratory, before moving to Argonne in 2011.
Martin Suchara is a computational scientist at Argonne National Laboratory with expertise in quantum computing. His research focuses on quantum communication and networking, quantum error correction, quantum simulations, and optimizations of the quantum computing software stack.
Prior to joining Argonne, Martin worked at AT&T Labs and received postdoctoral training in quantum computing from UC Berkeley and the IBM T. J. Watson Research Center. Martin received his Ph.D. from the Department of Computer Science at Princeton University.
- Superconductivity, superfluidity, Bose-Einstein condensation
- Single-electron and single-photon quantum devices
- Quantum and topological photonics, plasmonics, and excitonics
- Low-phonon-limit nanomechanical systems, optomechanics
- Electron transport measurement
- Microwave weak-signal measurement
- Nano-fabrication and characterization
- Cryogenic system design and operation
- Scanning near-field optical microscopy
- Electron energy-loss spectroscopy
- Picosecond pump-probe measurement
- Micro-Raman and fluorescence measurement
- Real-time density-functional calculation
- Electrodynamic and cavity QED calculation
Dr. Robin Blume-Kohout is a Principal R&D Scientist at Sandia National Labs. He earned undergraduate degrees in physics and English from Kenyon College, and a PhD in theoretical physics from the University of California (Berkeley) for research into quantum decoherence. With 20 years of research experience in almost every area of quantum information science, Dr. Blume-Kohout is a world-recognized expert in testing, assessing, and benchmarking the performance and behavior of quantum computers. He has published 35 peer-reviewed publications in leading journals, delivered many invited presentations on quantum technologies, and served as an advisor and reviewer for a wide range of government agencies and funding organizations. He is currently the leader of Sandia’s Quantum Performance Laboratory, the premiere US government resource for testing and evaluating quantum computing hardware and its performance. The QPL’s primary mission combines research into new techniques for measuring and assessing the capabilities and failure mechanisms of quantum computing processors, with the active deployment of those techniques to create open-source software and evaluate as-built quantum testbeds.
Dr. Timothy Proctor is a researcher in quantum information sciences, with particular expertise in quantum computing and quantum sensing. He currently works on developing methods for comprehensive testing and performance assessment of quantum computing hardware, with a focus on developing scalable benchmarks that can measure the holistic performance of current and near-future quantum processors. Prior to joining Sandia National Laboratories in 2016, Dr. Proctor led the development of a foundational theory for quantum-enhanced sensor networks.
Research focuses on experimental study of hybrid quantum systems involving magnon spintronics, integrated photonics, and nanomechanics, aiming at developing high-fidelity quantum transducers for distributed quantum networks. Such interdisciplinary research not only studies the quantum coherent phenomena of individual quantum information carriers but also seeks enhancement of their coherent interactions. Research interests also include developing integrated photonic sensors for biochemical sensing with high sensitivity and specificity, as well as wireless sensor networks in extreme conditions such as in subterranean environments.
Dr. Mohan Sarovar is a Principal Member of the Technical Staff at Sandia National Laboratories in Livermore, California. He obtained a Bachelors and Masters in Electrical Engineering from Cornell University, and a doctorate in Physics from the University of Queensland (Australia) specializing in quantum computing and quantum control. He has broad expertise in quantum technologies built up over more than 15 years of working on quantum computing, quantum communication, quantum simulation and quantum sensing. He has over 50 peer-reviewed publications in leading journals, 3 patents in the field of quantum communication, has delivered numerous invited presentations on quantum technologies, and has been a team lead in an R&D 100 Award winning project. He has led several US Department of Energy Office of Science projects and internal projects, ranging from fundamental research to applied quantum technologies. His current research portfolio is focused on developing quantum algorithms for science applications, near-term quantum computing and quantum simulation applications, developing new techniques for characterizing quantum computers, and developing applications of quantum technologies for physical security.