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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.