213 citations · 496 across the 9 of their papers we have counts for
9 papers
Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning
Ivan Glasser, Ryan Sweke, Nicola Pancotti +2
Tensor-network techniques have enjoyed outstanding success in physics, and have recently attracted attention in machine learning, both as a tool for the formulation of new learning…
NetKet: A Machine Learning Toolkit for Many-Body Quantum Systems
Giuseppe Carleo, Kenny Choo, Damian Hofmann +15
We introduce NetKet, a comprehensive open source framework for the study of many-body quantum systems using machine learning techniques. The framework is built around a general and…
From probabilistic graphical models to generalized tensor networks for supervised learning
Ivan Glasser, Nicola Pancotti, J. Ignacio Cirac
Tensor networks have found a wide use in a variety of applications in physics and computer science, recently leading to both theoretical insights as well as practical algorithms in…
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
Ivan Glasser, Nicola Pancotti, Moritz August +2
Neural-Network Quantum States have been recently introduced as an Ansatz for describing the wave function of quantum many-body systems. We show that there are strong connections be…
Lattice effects on Laughlin wave functions and parent Hamiltonians
Ivan Glasser, J. Ignacio Cirac, Germán Sierra +1
We investigate lattice effects on wave functions that are lattice analogues of bosonic and fermionic Laughlin wave functions with number of particles per flux in the Landau…
Quasielectrons as inverse quasiholes in lattice fractional quantum Hall models
Anne E. B. Nielsen, Ivan Glasser, Ivan D. Rodriguez
From an experimental point of view, quasielectrons and quasiholes play very similar roles in the fractional quantum Hall effect. Nevertheless, the theoretical description of quasie…
Exact parent Hamiltonians of bosonic and fermionic Moore-Read states on lattices and local models
Ivan Glasser, J. Ignacio Cirac, Germán Sierra +1
We introduce a family of strongly-correlated spin wave functions on arbitrary spin-1/2 and spin-1 lattices in one and two dimensions. These states are lattice analogues of Moore-Re…
Construction of spin models displaying quantum criticality from quantum field theory
Ivan Glasser, J. Ignacio Cirac, Germán Sierra +1
We provide a method for constructing finite temperature states of one-dimensional spin chains displaying quantum criticality. These models are constructed using correlators of prod…
String Derived Exophobic SU(6)xSU(2) GUTs
Laura Bernard, Alon E Faraggi, Ivan Glasser +2
With the apparent discovery of the Higgs boson, the Standard Model has been confirmed as the theory accounting for all sub-atomic phenomena. This observation lends further credence…