Physics
I have always been deeply fascinated by emergent behavior in nature, where the sum-of-the-parts display interesting properties that its parts do not have on their own, and emerge only when they interact together. My PhD research focused on the interplay of symmetry and interactions in quantum mechanical systems which lead to the emergence of new particles that cannot exist on their own. These emergent particles have exotic properties and have interesting applications such as topological quantum computing. Some themes of my research:
- Interplay of Symmetry, Interactions and Topology in physics
- Leveraging Machine Learning and Reinforcement Learning for physics problems
- Topological Quantum Computing
- Quantum Machine Learning
Papers
- From Dirac semimetals to topological phases in three dimensions: a coupled wire construction arXiv:1711.05746 (PRX 2019)
- Coupled Wire Models of Interacting Dirac Nodal Superconductors, Phys. Rev. B 98, 184514 (2018) arXiv:1806.09599
- PhD Thesis: ‘Interplay of Symmetry and Interactions in 3D Topological Phases of Matter’
- Variational Embeddings in Quantum Machine Learning [paper]
Talks
- Stacking disorder in Topological Insulators and Dirac/Weyl semimetals, March meeting, Los Angeles 2018 [ppt]
- Zoo of topological phases and their classifications, ASSMS Lahore, Jan 2018 [ppt]
- Symmetry-preserving gapping of Weyl and Dirac Semimetals, University of Virginia, April 2017 [ppt]
- Non-Abelian knot cycles in 3+1 dimensions, March meeting, New Orleans 2017 [ppt]
- Symmetry-preserving gapping of Weyl and Dirac semimetals, UIUC, June 2016
- Coupled wire construction of Weyl and Dirac semimetals, March meeting, Baltimore 2016
Syed Raza 