308 citations · 788 across the 12 of their papers we have counts for
4 papers · 1 filter
Density Matrix Renormalization Group with Tensor Processing Units
Martin Ganahl, Jackson Beall, Markus Hauru +4
Google's Tensor Processing Units (TPUs) are integrated circuits specifically built to accelerate and scale up machine learning workloads. They can perform fast distributed matrix m…
Entanglement compression in scale space: from the multiscale entanglement renormalization ansatz to matrix product operators
Karel Van Acoleyen, Andrew Hallam, Matthias Bal +3
The multiscale entanglement renormalization ansatz (MERA) provides a constructive algorithm for realizing wavefunctions that are inherently scale invariant. Unlike conformally inva…
Renormalization of tensor networks using graph independent local truncations
Markus Hauru, Clement Delcamp, Sebastian Mizera
We introduce an efficient algorithm for reducing bond dimensions in an arbitrary tensor network without changing its geometry. The method is based on a novel, quantitative understa…
Topological conformal defects with tensor networks
Markus Hauru, Glen Evenbly, Wen Wei Ho +2
The critical 2d classical Ising model on the square lattice has two topological conformal defects: the symmetry defect and the Kramers-Wannier duality defect $…