Anders Petersson
About Anders Petersson
Anders Petersson is a computational mathematician with extensive experience in numerical methods and software development for quantum computing and seismic simulations. He has held various academic and research positions, including roles at Stanford University and Lawrence Livermore National Laboratory.
Work at Lawrence Livermore National Laboratory
Anders Petersson has been employed at Lawrence Livermore National Laboratory since 2015, where he currently serves as a Computational Mathematician. His role involves leading the development of scalable software for shaping microwave pulses in quantum computers as part of a quantum optimal control project. Additionally, he heads an initiative focused on optimizing the SW4 seismic simulation code for peta and exascale supercomputers. His extensive experience at the laboratory spans over nine years.
Education and Expertise
Anders Petersson studied at KTH Royal Institute of Technology, where he earned a Master of Science in Mechanics and Aeronautical Engineering from 1983 to 1987. He furthered his education at the same institution, achieving a Ph.D. in Numerical Analysis from 1988 to 1991. His expertise lies in numerical methods for wave propagation problems, which supports his work in computational mathematics and quantum computing.
Previous Positions and Experience
Prior to his current role, Anders Petersson held various positions in academia and industry. He worked as a Consulting Professor at Stanford University for seven months in 2014-2015. His earlier experience includes roles as a Postdoctoral Researcher at the University of California, Los Angeles, and as an Assistant/Associate Professor at Chalmers University of Technology. He also served as a Computer Scientist at Lawrence Livermore National Laboratory from 1999 to 2023 and worked briefly at Volvo Car Corporation as a Computational Fluid Dynamics Specialist.
Research and Development Initiatives
Anders Petersson leads significant research initiatives at Lawrence Livermore National Laboratory, particularly in the field of quantum computing and seismic simulation. He is involved in the development of software for quantum optimal control, which is critical for advancing quantum computing technologies. Additionally, his leadership in optimizing the SW4 seismic simulation code aims to enhance computational efficiency on advanced supercomputing platforms.