The advent of fast and cost-effective computers as well as efficient algorithms has made computational physics into a powerful third way, besides experiment and theory, to do research. Disordered and complex systems have many applications to other disciplines, such as biology, computer science, finance, etc. Due to their complexity, computational physics is the tool of choice to study these because, in general, analytic approaches are only fruitful for the simplest problems.
The Computational and Data Intensive Physics Group studies problems in the general area of complex systems such as spin, electron, and structural glasses, as well as quantum enhanced optimization methods and topologically-protected quantum computing proposals. A key component of the research is developing and improving innovative algorithms to study problems that are not accessible analytically.