70 citations · 143 across the 6 of their papers we have counts for
6 papers
TensorNetwork on TensorFlow: Entanglement Renormalization for quantum critical lattice models
Martin Ganahl, Ashley Milsted, Stefan Leichenauer +2
We use TensorNetwork [C. Roberts et al., arXiv: 1905.01330], a recently developed API for performing tensor network contractions using accelerated backends such as TensorFlow, to i…
TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks
Ashley Milsted, Martin Ganahl, Stefan Leichenauer +2
TensorNetwork is an open source library for implementing tensor network algorithms in TensorFlow. We describe a tree tensor network (TTN) algorithm for approximating the ground sta…
TensorNetwork: A Library for Physics and Machine Learning
Chase Roberts, Ashley Milsted, Martin Ganahl +6
TensorNetwork is an open source library for implementing tensor network algorithms. Tensor networks are sparse data structures originally designed for simulating quantum many-body…
A Monte Carlo Time-Dependent Variational Principle
F. W. G. Transchel, A. Milsted, Tobias J. Osborne
We generalize the Time-Dependent Variational Principle (TDVP) to dissipative systems using Monte Carlo methods, allowing the application of existing variational classes for pure st…
Commensurate and Incommensurate States of Topological Quantum Matter
Ashley Milsted, Emilio Cobanera, Michele Burrello +1
We prove numerically and by dualities the existence of modulated, commensurate and incommensurate states of topological quantum matter in simple systems of parafermions, motivated…
Quantum phases of a chain of strongly interacting anyons
Peter E. Finch, Holger Frahm, Marius Lewerenz +2
We study a strongly interacting chain of anyons with fusion rules determined by SO(5)2. The phase portrait is identified with a combination of numerical and analytical techniques.…