163 citations · 231 across the 5 of their papers we have counts for
6 papers
Number-State Preserving Tensor Networks as Classifiers for Supervised Learning
Glen Evenbly
We propose a restricted class of tensor network state, built from number-state preserving tensors, for supervised learning tasks. This class of tensor network is argued to be a nat…
Entanglement renormalization for disordered systems
Andrew M. Goldsborough, Glen Evenbly
We propose a tensor network method for investigating strongly disordered systems that is based on an adaptation of entanglement renormalization [G. Vidal, Phys. Rev. Lett. 99, 2204…
Rigorous free fermion entanglement renormalization from wavelet theory
Jutho Haegeman, Brian Swingle, Michael Walter +3
We construct entanglement renormalization schemes which provably approximate the ground states of non-interacting fermion nearest-neighbor hopping Hamiltonians on the one-dimension…
Implicitly disentangled renormalization
Glen Evenbly
We propose a new implementation of real-space renormalization group (RG) transformations for quantum states on a lattice. Key to this approach is the removal of short-ranged entang…
Entanglement renormalization and wavelets
Glen Evenbly, Steven R. White
We establish a precise connection between discrete wavelet transforms (WTs) and entanglement renormalization (ER), a real-space renormalization group transformation for quantum sys…
Entanglement renormalization, scale invariance, and quantum criticality
Robert N. C. Pfeifer, Glen Evenbly, Guifre Vidal
The use of entanglement renormalization in the presence of scale invariance is investigated. We explain how to compute an accurate approximation of the critical ground state of a l…