Quantum Entanglement in Neural Network States
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May 2017 |
Equivalence of restricted Boltzmann machines and tensor network states
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February 2018 |
Backflow correlations in the Hubbard model: An efficient tool for the study of the metal-insulator transition and the large- U limit
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May 2011 |
Effects of backflow correlation in the three-dimensional electron gas: Quantum Monte Carlo study
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September 1998 |
Unifying neural-network quantum states and correlator product states via tensor networks
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February 2018 |
Static and dynamical properties of doped Hubbard clusters
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May 1992 |
Solving frustrated quantum many-particle models with convolutional neural networks
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September 2018 |
Machine Learning Technique to Find Quantum Many-Body Ground States of Bosons on a Lattice
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January 2018 |
Constructing exact representations of quantum many-body systems with deep neural networks
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December 2018 |
Criticality, the Area Law, and the Computational Power of Projected Entangled Pair States
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June 2006 |
Entanglement Renormalization
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November 2007 |
Symmetries and Many-Body Excitations with Neural-Network Quantum States
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October 2018 |
Efficient representation of topologically ordered states with restricted Boltzmann machines
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April 2019 |
Approximation by superpositions of a sigmoidal function
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December 1989 |
Many-Body Problem with Strong Forces
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June 1955 |
Ground-state properties of quantum many-body systems: entangled-plaquette states and variational Monte Carlo
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August 2009 |
Green's Function Monte Carlo Method for Liquid He 3
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March 1981 |
Machine learning topological states
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November 2017 |
Density matrix formulation for quantum renormalization groups
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November 1992 |
Complete-graph tensor network states: a new fermionic wave function ansatz for molecules
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October 2010 |
Itinerant ferromagnetic phase of the Hubbard model
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February 2011 |
Simulation of Quantum Many-Body Systems with Strings of Operators and Monte Carlo Tensor Contractions
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January 2008 |
The Theory of Complex Spectra
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November 1929 |
Solving the quantum many-body problem with artificial neural networks
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February 2017 |
Structure of the Ground State of a Fermion Fluid
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September 1981 |
Stripe order in the underdoped region of the two-dimensional Hubbard model
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November 2017 |
Striped Spin Liquid Crystal Ground State Instability of Kagome Antiferromagnets
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November 2013 |
Solutions of the Two-Dimensional Hubbard Model: Benchmarks and Results from a Wide Range of Numerical Algorithms
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December 2015 |
Quantum Monte Carlo study of the Ne atom and the Ne+ ion
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June 2006 |
Generalized transfer matrix states from artificial neural networks
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April 2019 |
Chiral topological phases from artificial neural networks
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May 2018 |
Method to Solve Quantum Few-Body Problems with Artificial Neural Networks
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July 2018 |
Simple Variational Wave Functions for Two-Dimensional Heisenberg Spin-½ Antiferromagnets
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June 1988 |
Efficient representation of quantum many-body states with deep neural networks
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September 2017 |
Role of backflow correlations for the nonmagnetic phase of the t – t ′ Hubbard model
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July 2008 |
Quantum Monte Carlo of nitrogen: Atom, dimer, atomic, and molecular solids
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April 1994 |
Theory of Superconductivity
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December 1957 |
Fermion Monte Carlo algorithms and liquid He 3
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March 1989 |
Nonlinear Network Description for Many-Body Quantum Systems in Continuous Space
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May 2018 |
Metal-insulator transition and strong-coupling spin liquid in the t–t ′ Hubbard model
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January 2009 |
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
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January 2018 |
Learning hard quantum distributions with variational autoencoders
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June 2018 |
Restricted Boltzmann machine learning for solving strongly correlated quantum systems
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November 2017 |
Many-body wavefunctions for normal liquid He 3
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September 2006 |
Approximating quantum many-body wave functions using artificial neural networks
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January 2018 |
Variational ground states of two-dimensional antiferromagnets in the valence bond basis
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September 2007 |
Energy Spectrum of the Excitations in Liquid Helium
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June 1956 |
Interaction-induced Fermi-surface renormalization in the t 1 − t 2 Hubbard model close to the Mott-Hubbard transition
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May 2010 |
Spin-liquid and magnetic phases in the anisotropic triangular lattice: The case of κ − ( ET ) 2 X
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August 2009 |
Efficient Classical Simulation of Slightly Entangled Quantum Computations
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October 2003 |
Effects of three-body and backflow correlations in the two-dimensional electron gas
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October 1993 |
Iterative backflow renormalization procedure for many-body ground-state wave functions of strongly interacting normal Fermi liquids
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March 2015 |
Neural-network quantum state tomography
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journal
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February 2018 |
Approximation by superpositions of a sigmoidal function
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journal
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December 1992 |
Complete-graph tensor network states: A new fermionic wave function ansatz for molecules
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text
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January 2010 |
Learning hard quantum distributions with variational autoencoders
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text
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January 2018 |
Constructing exact representations of quantum many-body systems with deep neural networks
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text
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January 2018 |
Theory of Superconductivity
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journal
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May 1965 |
The Theory of Complex Spectra
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journal
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October 1930 |
Symmetries and Many-Body Excitations with Neural-Network Quantum States
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text
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January 2018 |
The Theory of Complex Spectra
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journal
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April 1932 |
Inhomogeneous backflow transformations in quantum Monte Carlo calculations
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text
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January 2008 |
Iterative backflow renormalization procedure for many-body ground state wave functions of strongly interacting normal Fermi liquids
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text
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January 2015 |
Machine Learning Topological States
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text
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January 2016 |
Stripe order in the underdoped region of the two-dimensional Hubbard model
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text
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January 2017 |
Quantum Entanglement in Neural Network States
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text
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January 2017 |
Approximating quantum many-body wave-functions using artificial neural networks
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text
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January 2017 |
Machine learning technique to find quantum many-body ground states of bosons on a lattice
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text
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January 2017 |
Unifying Neural-network Quantum States and Correlator Product States via Tensor Networks
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text
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January 2017 |
Neural-Network Quantum States, String-Bond States, and Chiral Topological States
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text
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January 2017 |
Chiral Topological Phases from Artificial Neural Networks
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text
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January 2017 |
Nonlinear Network description for many-body quantum systems in continuous space
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text
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January 2017 |
Method to solve quantum few-body problems with artificial neural networks
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text
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January 2018 |
Solving frustrated quantum many-particle models with convolutional neural networks
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text
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January 2018 |
Generalized Transfer Matrix States from Artificial Neural Networks
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text
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January 2018 |
Efficient Representation of Topologically Ordered States with Restricted Boltzmann Machines
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text
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January 2018 |
Backflow Correlations for the Electron Gas and Metallic Hydrogen
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text
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January 2003 |
Entanglement renormalization
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text
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January 2005 |
Effects of Backflow Correlation in the Three-Dimensional Electron Gas: Quantum Monte Carlo Study
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text
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January 1998 |
Efficient classical simulation of slightly entangled quantum computations
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text
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January 2003 |