Adam Lewis
Research Interests
I am broadly interested in the development of new algorithms to address otherwise-intractable problems in theoretical physics, particularly in domains where computational approaches have not traditionally been employed.
My PhD research was in numerical relativity, which deals with the simulation of strong gravitational fields e.g. around black holes. During that time I worked both on the development of binary black hole merger simulations, and on the porting of existing code to run on GPU-accelerated computers.
Here at Perimeter I am working to use approaches from tensor networks, a set of techniques for the simulation of quantum mechanical systems, to study quantum fields within strong gravitational fields. The coupling between quantum mechanics and gravity produces novel effects which, even when understood qualitatively, are difficult to study in quantitative detail. Our new algorithms will help to remedy this situation.
Positions Held
- 2013-2018 Department of Physics, University of Toronto PhD Student
Recent Publications
- Adam G. M. Lewis, Harald P. Pfeiffer GPU-Accelerated Simulations of Isolated Black Holes Class. Quant. Grav. 35, 2018, 095017 arXiv: 1804.09101
- Adam G. M. Lewis, Harald P. Pfeiffer Automatic generation of CUDA code performing tensor manipulations using C++ expression templates arXiv: 1804.10120
Seminars
- Matrix Product State Simulations of Quantum Fields in Curved 1+1 Spacetime It From Qubit Workshop 2019 University of Kyoto, Kyoto, Japan
- Matrix Product State Simulations of Quantum Fields in Curved 1+1 Spacetime Relativistic Quantum Information North 2019 National Cheng-Kung University, Tainan, Taiwan
- Tensor networks and gravitational physics Dartmouth College, Invited talk at "Gravity in the Quantum Regime" workshop
