Work

Neural-Network Quantum States, String-Bond States, and Chiral Topological States

Year: 2018

Type: article

Abstract: Two tools show great promise in approximating low-temperature, condensed-matter systems: Tensor-network states and artificial neural networks. A new analysis builds a bridge between these techniques, opening the way to a host of powerful approaches to understanding complex quantum systems.

Source: Physical Review X

DOI: 10.1103/physrevx.8.011006

Authors: Ivan Glasser, Nicola Pancotti, Moritz August, Ivan D. Rodriguez, J. Ignacio Cirac

Institutions: Max Planck Institute of Quantum Optics, Technical University of Munich

Language: English

Topic: Quantum many-body systems

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $4,200

Funder: H2020 European Research Council