Miles Stoudenmire joined the Flatiron Institute in 2017 as a research scientist at the Center for Computational Quantum Physics (CCQ). He earned a B.S. in physics and math from the Georgia Institute of Technology in 2005 and a Ph.D. in physics from the University of California Santa Barbara in 2010. He held postdoctoral and research scientist positions at the University of California Irvine and the Perimeter Institute for Theoretical Physics.
Miles’ speciality is using tensor networks, a technique for compressing and manipulating large collections of parameters encountered in quantum mechanics and in machine learning. A key area of his research is expanding the reach of tensor networks to include more detailed and realistic aspects of quantum systems, such as the use of chemically accurate basis sets and the inclusion of finite temperature effects.
Miles is also the lead developer of the ITensor software for tensor network calculations. The ITensor interface allows users to directly transcribe tensor network diagrams into efficient code, and is very useful for rapidly prototyping new algorithms.
University of California Santa Barbara, CA
Georgia Institute of Technology, Atlanta, GA
E.M. Stoudenmire and Steven R. White, “Sliced Basis Density Matrix Renormalization Group for Electronic Structure”, Phys. Rev. Lett. 119: 046401
E.M. Stoudenmire and D.J. Schwab, “Supervised Learning with Quantum-Inspired Tensor Networks”, Advances in Neural Information Processing Systems (NIPS) 29: 4799
E.M. Stoudenmire, David J. Clarke, Roger S. K. Mong, and Jason Alicea, “Assembling Fibonacci Anyons from a Z3 Parafermion Lattice Model”, Phys. Rev. B 91: 235112
E.M. Stoudenmire and Steven R. White, “Real-space parallel density matrix renormalization group”, Phys. Rev. B 87: 155137