Center for Computing Research (CCR)

Center for Computing Research

Discrete Math & Optimization, 01464

The Discrete Math & Optimization Department conducts research and development in mathematics and computing in support of Sandia missions.  Principle areas of focus include graph algorithms, parallel computing, combinatorial optimization, integer programming and quantum algorithms. Our team delivers creative enabling technologies and software tools. The department works on a wide variety of applicaton areas including scientific computing, systems software, logistics and sensor placement.

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People

[photo not uploaded] Randy David Smith
Manager, Discrete Math & Optimization
Email: ransmit@sandia.gov
Phone: 505/844-3189

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1327
Albuquerque, NM
87185-1320
Gregory James Bristol, Office Administrative Assistant
Staff
Jonathan W. Berry (Jon)
William Bolden
Michael Lee Bynum
Mohamed Salah Ebeida
William E. Hart
Bernard Knueven
Carl Damon Laird
Richard B. Lehoucq
Vitus J. Leung
William Loughlin
Bethany L. Nicholson
Ojas D. Parekh
Benjamin Rachunok
Rohith R. Rokkam
John Daniel Siirola
Bismark Singh
Andrea Staid
Kevin Thompson
Dominic Yang

News

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  • DOE award to develop new quantum algorithms for simulation, optimization, and machine learning

    The Department of Energy's Office of Science recently awarded $4.5M over three years to a multi-institutional and multi-disciplinary team led by Dr. Ojas Parekh (1464) to explore the abilities of quantum computers in three interrelated areas: quantum simulation, optimization, and machine learning, each highly relevant to the DOE mission....

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    DOE award to develop new quantum algorithms for simulation, optimization, and machine learning

    The Department of Energy's Office of Science recently awarded $4.5M over three years to a multi-institutional and multi-disciplinary team led by Dr. Ojas Parekh (1464) to explore the abilities of quantum computers in three interrelated areas: quantum simulation, optimization, and machine learning, each highly relevant to the DOE mission. The QOALAS (Quantum Optimization and Learning and Simulation) project brings together some the world’s top experts in quantum algorithms, quantum simulation, theoretical physics, applied mathematics, and discrete optimization from Sandia National Laboratories, Los Alamos National Laboratory, California Institute of Technology, and University of Maryland. The QOALAS team will leverage and unearth connections between simulation, optimization, and machine learning to fuel new applications of quantum information processing to science and technology as well as further investigate the potential of quantum computers to solve certain problems dramatically faster or with better fidelity than possible with classical computers.

    The QOALAS (pronounced as “Koalas”) project mascot is a marsupial who knows his theoretical physics and Feynmann diagrams!

    Contact: Parekh, Ojas D.
    January 2018
    2018-0163O

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