Center for Computing Research (CCR)

Center for Computing Research

Andrew David Baczewski

Andrew David Baczewski
Quantum Computer Science
Email: adbacze@sandia.gov
Phone: 5058447817
Fax: 5058442623

Mailing address:
Sandia National Laboratories
P.O. Box 5800, MS 1323
Albuquerque, NM
87185-1320

I am a computational physicist interested in all aspects of many-body quantum systems. I apply my research to basic material and chemical sciences, as well as quantum information science. More details of my interests follow:

  • Electronic structure: The atoms that make up most of the things we interact with in our day-to-day lives are comprised of negatively charged electrons and positively charged nuclei. The interactions between these subatomic constituents govern nearly all of chemistry, and we have an enormously successful theory for describing these interactions - quantum mechanics. I solve these fundamental laws using a variety of computational methods, including density functional theory and quantum Monte Carlo. I have studied many different phenomena with these methods, including phase transitions at high pressure, the chemical bonding that holds together two-dimensional materials, and impurities in semiconductors.
  • Quantum dynamics: An unusually successful paradigm in experimental science is to probe a system under study with a well-characterized probe, and to simply watch what happens in response. I try to replicate this process computationally, and have worked on problems ranging from inelastic x-ray scattering spectroscopies for warm dense matter to the control of qubits comprised of quantum dots and single nuclear spins.         
  • Numerical method development: To study increasingly large systems or to rapidly generate data sets on which to do statistics, it is important to make sure that these algorithms are computationally efficient. To ensure that we get meaningful data out of the solution of complicated equations on high performance computing platforms, it is also critical to understand that the algorithms used are mathematically accurate.  Numerical method development is the science of creating and implementing such fast and accurate algorithms. I have worked on numerical method development in numerous areas, ranging from classical and quantum molecular dynamics to computational electromagnetics.

Education/Background

  • 2013 - Ph.D., Michigan State University, Physics & Electrical Engineering, NSF Graduate Research Fellowship 
  • 2007 - B.S., Michigan State University, Electrical Engineering

 

Selected Publications & Presentations

2016
2015
2014
2013
2012
2010
2009