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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.
Jeffrey Larson is a computational mathematician at Argonne. His research centers on optimization algorithms and their implementation in software.
Jeff is the Argonne lead for the Fundamental Algorithmic Research for Quantum Computing (FAR-QC) project where he develops numerical optimization methods for problems in quantum computing. He is also a lead developer of libEnsemble, a Python library to coordinate the concurrent evaluation of ensembles of computations. He also develops APOSMM, an asynchronously parallel optimization solver for finding multiple minima, and other derivative-free optimization algorithms for that exploit problem structure in scientific applications. He studies approaches for the fuel-efficient routing of autonomous vehicles through road networks.
Jeff joined Argonne in 2014 as a postdoctoral appointee. He was previously a postdoctoral researcher with the Royal Institute of Technology KTH in Sweden. He earned his Ph.D. in applied mathematics from the University of Colorado Denver in 2012.
- Quantum computing
- Simulation-based, black-box, or derivative-free optimization
- Autonomous vehicle routing
Dr. Yao is a theoretical and computational physicist, developing methods, algorithms, and codes to address condensed matter physics and materials science problems. With a degree of B.S. in department of intensive instruction in 2000 and M.S. in physics in 2003 from Nanjing University, China, he obtained his Ph.D. in physics from Iowa State University in 2009. After graduation, he took a postdoc position in Ames Laboratory. He was promoted to assistant scientist in 2011, associate scientist in 2015, and senior theoretical physicist in 2019, with an adjunct faculty position in department of Physics and Astronomy at Iowa State University. He is currently leading projects in the development of quantum computing approaches to solve ground state and dynamical properties of correlated quantum materials within the Gutzwiller quantum-classical embedding framework. He is also a key developer of the Gutzwiller density functional theory and rotationally-invariant Slave-Boson method and software.
- Basic science: seeks to understand how nature works. This research includes experimental and theoretical work in materials science, physics, chemistry, biology, high-energy physics, and mathematics and computer science, including high performance computing.
- Applied science and engineering helps to find practical solutions to society’s problems. These programs focus primarily on energy resources, environmental management and national security.
A strong science, technology, and engineering foundation enables Sandia's mission through a capable research staff working at the forefront of innovation, collaborative research with universities and companies, and discretionary research projects with significant potential impact. Sandia is committed to hiring the nation’s best and brightest, equipping them with world class tools and facilities while providing opportunities to collaborate with technical experts from many different scientific disciplines. To ensure our fundamental science and engineering core is vibrant and cutting edge, Sandia has chosen to invest in the following research foundations: Bioscience, Computing and Information Science, Engineering Science, Geoscience, Materials Science, Nanodevices and Microsystems, Radiation Effects and High Energy Density Science. These diverse research areas enable a multidisciplinary approach to resolve emerging national security problems.