
Anders Petersson
Computational Mathematician
COMP / CASC DIV / Center for Applied Scientific Computing Division

Computational Mathematician
COMP / CASC DIV / Center for Applied Scientific Computing Division
Anders Petersson is a computational mathematician in the Center for Applied Scientific Computing @ LLNL, where he currently leads projects on Quantum optimal control and characterization. Anders' research lies at the cross-section of numerical methods for wave propagation, high performance computing, optimization and optimal control. His research is performed in close collaboration with physicists specializing in quantum information sciences. Anders previously lead the development of the exa-scale computing code SW4 for large scale seismic wave propagation, under the Serpentine Wave Propagation Project.
N. Anders Petersson, Stefanie Günther and Seung Whan Chung, “A time-parallel multiple-shooting method for large-scale quantum optimal control”, J. Comput. Phys. (submitted July 24, 2024), LLNL-JRNL-866412, arXiv 2407.13950.
D. McCallen, A. Pitarka, H. Tang, R. Pankajakshan, N. A. Petersson and M. Miah, "Transformational Regional-Scale Earthquake Simulations with the DOE EarthQuake SIMulation (EQSIM) Exascale Framework," Computing in Science & Engineering, (2024) pp.1-12. doi: 10.1109/MCSE.2024.3397768.
Stefanie Günther and N. Anders Petersson, “A Practical Approach to Determine Minimal Quantum Gate Durations Using Amplitude-Bounded Quantum Controls”, (2023) AVS Quantum Sci. 5, 043802, doi: 10.1116/5.0173373.
Mohammad Motamed and N. Anders Petersson, “Gaussian Process-based Bayesian Quantum Characterization”, (2023) Physics Review A (submitted 8/23/2023) LLNL-JRNL-853217, arXiv 2308.12552.
Stefanie Günther, N. Anders Petersson and Jonathan L. DuBois, "Quandary: An open-source C++ package for high-performance optimal control of open quantum systems," 2021 IEEE/ACM Second International Workshop on Quantum Computing Software (QCS) (2021), pp. 88-98, doi: 10.1109/QCS54837.2021.00014, arXiv:2110.10310.
Houjun Tang, Suren Byna, N. Anders Petersson, David McCallen, “Tuning parallel data compression and I/O for large-scale earthquake simulation”, (2021) IEEE International Conference on Big Data (Big Data), 2992-2997.
D. McCallen, N.A. Petersson, A. Rodgers, M. Miah, A. Pitarka, F. Petrone, H. Tang, “The earthquake simulation (EQSIM) framework for physics-based fault-to-structure simulations”, 17th World conference on earthquake engineering, Sept. 2020, LLNL-CONF-803869.
N. Anders Petersson, Fortino M. Garcia, Austin E. Copeland, Ylva L. Rydin and Jonathan L. DuBois, “Discrete Adjoints for Accurate Numerical Optimization with Application to Quantum Control”, arXiv:2001.01013, LLNL-JRNL-800457 (2020).
AVS Quantum Science Journal awarded “Editor’s Pick” for journal publication, 2021.
Physical and Life Sciences directorate award “For work in computational seismology research featured in a full-dome show and exhibit at the California Academy of Sciences entitled “Earthquake”, Lawrence Livermore National Laboratory, 2012.
Center for Applied Scientific Computing division leader award “For excellent contribution to the new planetarium show ‘Earthquake: Life on a Dynamic Planet’ at the California Academy of Sciences”, Lawrence Livermore National Laboratory, 2012.
Energy and Environment directorate award “For outstanding simulation of the 1906 San Francisco earthquake using the new WPP code”, Lawrence Livermore National Laboratory, 2006.
Docent of Hydromechanics (acknowledges significant research beyond a PhD), Department of Naval Architecture and Ocean Engineering, Chalmers University of Technology, 1997.
Director's Funded Postdoctoral Fellowship, Los Alamos National Laboratory, 1992.
Honorable mention, SIAM Student Paper Competition, 1990.
Four-year graduate fellowship for academic excellence, Royal Institute of Technology, 1988.
Member, Society of Industrial and Applied Mathematics (SIAM).