Simultaneous approximation of multiple degenerate states using a single neural network quantum state | Paper Citation Record

Observation cd2fe4de-b1f4-484a-9b7c-1cddbba281db · outbound

This paper cites Quantum Monte Carlo,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Quantum Monte Carlo,

Reference 1

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This paper cites Quantum Monte Carlo simulations of solids,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Quantum Monte Carlo simulations of solids,

Reference 2

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Observation 4311d869-952b-4a7e-83ce-a62cca4cee0a · outbound

This paper cites Quantum Monte Carlo methods for nuclear physics.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Quantum Monte Carlo methods for nuclear physics

Reference 3

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This paper cites Quantum Monte Carlo Approaches for Correlated Systems,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Quantum Monte Carlo Approaches for Correlated Systems,

Reference 4

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Observation 385c893a-08a3-4715-baa4-0c306f810bbc · outbound

This paper cites A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state A Practical Introduction to Tensor Networks: Matrix Product States and Projected Entangled Pair States

Reference 5

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This paper cites Mixed-State Dynamics in One-Dimensional Quantum Lattice Systems: A Time-Dependent Superoperator Renormalization Algorithm,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Mixed-State Dynamics in One-Dimensional Quantum Lattice Systems: A Time-Dependent Superoperator Renormalization Algorithm,

Reference 6

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This paper cites Class of Highly Entangled Many-Body States that can be Efficiently Simulated,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Class of Highly Entangled Many-Body States that can be Efficiently Simulated,

Reference 7

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This paper cites Entanglement Renormalization,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Entanglement Renormalization,

Reference 8

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This paper cites Classical simulation of quantum many-body systems with a tree tensor network,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Classical simulation of quantum many-body systems with a tree tensor network,

Reference 9

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Observation 6f2e30b4-4c34-4fff-a137-1b7ce7c0bc18 · outbound

This paper cites Multiscale Entanglement Renormalization Ansatz in Two Dimensions: Quantum Ising Model,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Multiscale Entanglement Renormalization Ansatz in Two Dimensions: Quantum Ising Model,

Reference 10

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Observation be353a13-a99f-49b2-b356-43cf68d029e2 · outbound

This paper cites Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Renormalization algorithms for Quantum-Many Body Systems in two and higher dimensions

Reference 11

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This paper cites Matrix-product-groundstates for one-dimensional spin-1 quantum antiferromagnets.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Matrix-product-groundstates for one-dimensional spin-1 quantum antiferromagnets

Reference 12

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Observation 8808d130-771b-4b96-8b4f-70e8865c6aae · outbound

This paper cites The density-matrix renormalization group in the age of matrix product states,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state The density-matrix renormalization group in the age of matrix product states,

Reference 13

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Observation 612ec077-6303-4dd8-8270-69212b93c29b · outbound

This paper cites Density matrix formulation for quantum renormalization groups,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Density matrix formulation for quantum renormalization groups,

Reference 14

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This paper cites The density-matrix renormalization group,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state The density-matrix renormalization group,

Reference 15

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Observation 0ca8aa7e-6236-461b-94f0-29f0ac5a40e6 · outbound

This paper cites Solving the quantum many-body problem with artificial neural networks,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Solving the quantum many-body problem with artificial neural networks,

Reference 16

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This paper cites Neural tensor contractions and the expressive power of deep neural quantum states,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Neural tensor contractions and the expressive power of deep neural quantum states,

Reference 17

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Observation 5615976f-1902-4261-a626-a1d72461d336 · outbound

This paper cites Quantum Entanglement in Neural Network States,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Quantum Entanglement in Neural Network States,

Reference 18

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This paper cites Efficient representation of quantum many-body states with deep neural networks,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Efficient representation of quantum many-body states with deep neural networks,

Reference 19

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This paper cites Can neural quantum states learn volume-law ground states?.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Can neural quantum states learn volume-law ground states?

Reference 20

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Observation c8d683b1-80e6-4ba6-9e9b-7c88133b9276 · outbound

This paper cites Quantum Entanglement in Deep Learning Architectures,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Quantum Entanglement in Deep Learning Architectures,

Reference 21

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This paper cites Two-dimensional frustrated J1-J2 model studied with neural network quantum states,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Two-dimensional frustrated J1-J2 model studied with neural network quantum states,

Reference 22

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Observation 00e61784-0bf5-4c92-b110-a6caa62fbebb · outbound

This paper cites Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Gauge Invariant and Anyonic Symmetric Transformer and RNN Quantum States for Quantum Lattice Models

Reference 23

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Observation d4138542-6d95-4880-b444-9e5e095fa492 · outbound

This paper cites Ab initio solution of the many-electron Schr¨ odinger equation with deep neural networks,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Ab initio solution of the many-electron Schr¨ odinger equation with deep neural networks,

Reference 24

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This paper cites Deep-neural-network solution of the electronic Schr¨ odinger equation,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Deep-neural-network solution of the electronic Schr¨ odinger equation,

Reference 25

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Observation ef9257b2-5047-4d9c-8511-a8c42eec39fc · outbound

This paper cites Gauge equivariant neural networks for quantum lattice gauge theories.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Gauge equivariant neural networks for quantum lattice gauge theories

Reference 26

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Observation f7ca0b51-4d57-46ae-b310-25ea387a6e57 · outbound

This paper cites Variational Neural-Network Ansatz for Continuum Quantum Field Theory.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Variational Neural-Network Ansatz for Continuum Quantum Field Theory

Reference 27

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Observation 7bc53bbf-c574-4ef0-8cf4-8d488f5f784f · outbound

This paper cites Accurate neural quantum states for interacting lattice bosons.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Accurate neural quantum states for interacting lattice bosons

Reference 28

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Observation d53b0bfe-7d39-4c7a-8f28-6ec76a96d170 · outbound

This paper cites The sign problem in quantum Monte Carlo simulations,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state The sign problem in quantum Monte Carlo simulations,

Reference 29

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Observation 3dbb8fb8-9484-4bc0-bacb-debc8dfec7d9 · outbound

This paper cites Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Computational complexity and fundamental limitations to fermionic quantum Monte Carlo simulations

Reference 30

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Observation af97578b-747a-4f2a-80a4-74546dd67e6b · outbound

This paper cites Towards quantum gravity with neural networks: Solving the quantum Hamilton constraint of U(1) BF theory.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Towards quantum gravity with neural networks: Solving the quantum Hamilton constraint of U(1) BF theory

Reference 31

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Observation 963cc28c-6dee-46c3-8b70-70aeb285e9f0 · outbound

This paper cites Towards quantum gravity with neural networks: Solving quantum Hamilton constraints of 3d Euclidean gravity in the weak coupling limit.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Towards quantum gravity with neural networks: Solving quantum Hamilton constraints of 3d Euclidean gravity in the weak coupling limit

Reference 32

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Observation a3b60f79-c2d2-47a3-a0b3-7234855e5c22 · outbound

This paper cites Variational Quantum Computation of Excited States.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Variational Quantum Computation of Excited States

Reference 33

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This paper cites Excited states in variational Monte Carlo using a penalty method,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Excited states in variational Monte Carlo using a penalty method,

Reference 34

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Observation a4757932-7939-428a-8fdf-dadf726cccc9 · outbound

This paper cites Accurate Computation of Quantum Excited States with Neural Networks.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Accurate Computation of Quantum Excited States with Neural Networks

Reference 35

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Observation b805e77b-6b7b-4909-a8ee-e1ff08289c25 · outbound

This paper cites Learning eigenstates of quantum many-body Hamiltonians within the symmetric subspaces using neural network quantum states,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Learning eigenstates of quantum many-body Hamiltonians within the symmetric subspaces using neural network quantum states,

Reference 36

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Observation a2995467-d1cf-4aab-99ec-a80f61303fbe · outbound

This paper cites Symmetries and Many-Body Excita- tions with Neural-Network Quantum States,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Symmetries and Many-Body Excita- tions with Neural-Network Quantum States,

Reference 37

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This paper cites Ensemble variational Monte Carlo for optimization of correlated excited state wave functions,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Ensemble variational Monte Carlo for optimization of correlated excited state wave functions,

Reference 38

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This paper cites Absorption Spectrum of the Green Fluorescent Protein Chromophore: A Difficult Case for ab Initio Methods?,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Absorption Spectrum of the Green Fluorescent Protein Chromophore: A Difficult Case for ab Initio Methods?,

Reference 39

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Observation e4453fb6-43fe-4011-996d-34ecf2114fd7 · outbound

This paper cites Efficient PINNs via multi- 24 head unimodular regularization of the solutions space,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Efficient PINNs via multi- 24 head unimodular regularization of the solutions space,

Reference 40

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Observation 529f1282-f510-4932-88cf-0071d3c75421 · outbound

This paper cites Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Transfer Learning with Physics-Informed Neural Networks for Efficient Simulation of Branched Flows

Reference 41

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This paper cites L-HYDRA: Multi-Head Physics-Informed Neural Networks,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state L-HYDRA: Multi-Head Physics-Informed Neural Networks,

Reference 42

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This paper cites Excited state non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Excited state non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential,

Reference 43

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This paper cites Antiferromagnetic model with known ground state,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Antiferromagnetic model with known ground state,

Reference 44

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Observation f5ec4beb-4eb7-46bb-8394-936d39301eb2 · outbound

This paper cites On Next-Nearest-Neighbor Interaction in Linear Chain. I,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state On Next-Nearest-Neighbor Interaction in Linear Chain. I,

Reference 45

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This paper cites On Next-Nearest-Neighbor Interaction in Linear Chain. II,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state On Next-Nearest-Neighbor Interaction in Linear Chain. II,

Reference 46

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Observation 63a8edd0-24a9-47f3-b54d-d7976b7a941c · outbound

This paper cites From Architectures to Applications: A Review of Neural Quantum States.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state From Architectures to Applications: A Review of Neural Quantum States

Reference 47

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This paper cites Recurrent neural network wave functions,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Recurrent neural network wave functions,

Reference 48

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This paper cites Adam: A Method for Stochastic Optimization.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Adam: A Method for Stochastic Optimization

Reference 49

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This paper cites Equation of State Calculations by Fast Computing Machines,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Equation of State Calculations by Fast Computing Machines,

Reference 50

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This paper cites Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians,.

Simultaneous approximation of multiple degenerate states using a single neural network quantum state Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians,

Reference 51

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