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Title: Restricted Boltzmann machines and matrix product states of one-dimensional translationally invariant stabilizer codes

Abstract

We discuss the relations between restricted Boltzmann machine (RBM) states and the matrix product states (MPS) for the ground states of 1D translational invariant stabilizer codes. A generic translational invariant and finitely connected RBM state can be expressed as an MPS, and the matrices of the resulting MPS are of rank 1. We dub such an MPS as an RBM-MPS. This provides a necessary condition for exactly realizing a quantum state as an RBM state, if the quantum state can be written as an MPS. For generic 1D stabilizer codes having a nondegenerate ground state with periodic boundary condition, we obtain an expression for the lower bound of their MPS bond dimension, and an upper bound for the rank of their MPS matrices. In terms of RBM, we provide an algorithm to derive the RBM for the cocycle Hamiltonians whose MPS matrices are proved to be of rank 1. Moreover, the RBM-MPS produced by our algorithm has the minimal bond dimension. A family of examples is provided to explain the algorithm. Furthermore, we finally conjecture that these features hold true for all the 1D stabilizer codes having a nondegenerate ground state with periodic boundary condition, as long as their MPSmore » matrices are of rank 1.« less

Authors:
 [1];  [1];  [2];  [3]
  1. Princeton Univ., NJ (United States)
  2. Sorbonne Univ., Paris (France)
  3. Princeton Univ., NJ (United States); Freie Univ. Berlin (Germany); Max Planck Inst. of Microstructure Physics, Halle (Germany)
Publication Date:
Research Org.:
Princeton Univ., NJ (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1612432
Alternate Identifier(s):
OSTI ID: 1507188
Grant/Contract Number:  
SC0016239; de-sc0016239
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review. B
Additional Journal Information:
Journal Volume: 99; Journal Issue: 15; Journal ID: ISSN 2469-9950
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; Materials Science; Physics; Entanglement entropy; Artificial neural networks; Strongly correlated systems; Tensor network methods

Citation Formats

Zheng, Yunqin, He, Huan, Regnault, Nicolas, and Bernevig, B. Andrei. Restricted Boltzmann machines and matrix product states of one-dimensional translationally invariant stabilizer codes. United States: N. p., 2019. Web. doi:10.1103/physrevb.99.155129.
Zheng, Yunqin, He, Huan, Regnault, Nicolas, & Bernevig, B. Andrei. Restricted Boltzmann machines and matrix product states of one-dimensional translationally invariant stabilizer codes. United States. https://doi.org/10.1103/physrevb.99.155129
Zheng, Yunqin, He, Huan, Regnault, Nicolas, and Bernevig, B. Andrei. Mon . "Restricted Boltzmann machines and matrix product states of one-dimensional translationally invariant stabilizer codes". United States. https://doi.org/10.1103/physrevb.99.155129. https://www.osti.gov/servlets/purl/1612432.
@article{osti_1612432,
title = {Restricted Boltzmann machines and matrix product states of one-dimensional translationally invariant stabilizer codes},
author = {Zheng, Yunqin and He, Huan and Regnault, Nicolas and Bernevig, B. Andrei},
abstractNote = {We discuss the relations between restricted Boltzmann machine (RBM) states and the matrix product states (MPS) for the ground states of 1D translational invariant stabilizer codes. A generic translational invariant and finitely connected RBM state can be expressed as an MPS, and the matrices of the resulting MPS are of rank 1. We dub such an MPS as an RBM-MPS. This provides a necessary condition for exactly realizing a quantum state as an RBM state, if the quantum state can be written as an MPS. For generic 1D stabilizer codes having a nondegenerate ground state with periodic boundary condition, we obtain an expression for the lower bound of their MPS bond dimension, and an upper bound for the rank of their MPS matrices. In terms of RBM, we provide an algorithm to derive the RBM for the cocycle Hamiltonians whose MPS matrices are proved to be of rank 1. Moreover, the RBM-MPS produced by our algorithm has the minimal bond dimension. A family of examples is provided to explain the algorithm. Furthermore, we finally conjecture that these features hold true for all the 1D stabilizer codes having a nondegenerate ground state with periodic boundary condition, as long as their MPS matrices are of rank 1.},
doi = {10.1103/physrevb.99.155129},
journal = {Physical Review. B},
number = 15,
volume = 99,
place = {United States},
year = {Mon Apr 15 00:00:00 EDT 2019},
month = {Mon Apr 15 00:00:00 EDT 2019}
}

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Works referenced in this record:

Quantum Entanglement in Neural Network States
journal, May 2017


The density-matrix renormalization group in the age of matrix product states
journal, January 2011


An area law for one-dimensional quantum systems
journal, August 2007


Rigorous results on valence-bond ground states in antiferromagnets
journal, August 1987


Entropy Scaling and Simulability by Matrix Product States
journal, January 2008


Chiral topological phases from artificial neural networks
journal, May 2018


Equivalence of restricted Boltzmann machines and tensor network states
journal, February 2018


Restricted Boltzmann machines for the long range Ising models
journal, December 2016


Twisted gauge theory model of topological phases in three dimensions
journal, July 2015


Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
journal, June 2008


Accelerated Monte Carlo simulations with restricted Boltzmann machines
journal, January 2017


Rokhsar-Kivelson models of bosonic symmetry-protected topological states
journal, April 2015


Unifying neural-network quantum states and correlator product states via tensor networks
journal, February 2018


Emergence of Compositional Representations in Restricted Boltzmann Machines
journal, March 2017


Topological entanglement entropy of fracton stabilizer codes
journal, March 2018


Efficient representation of quantum many-body states with deep neural networks
journal, September 2017


Entanglement entropy from tensor network states for stabilizer codes
journal, March 2018


Quantum Neural Network States: A Brief Review of Methods and Applications
journal, March 2019

  • Jia, Zhih‐Ahn; Yi, Biao; Zhai, Rui
  • Advanced Quantum Technologies, Vol. 2, Issue 7-8
  • DOI: 10.1002/qute.201800077

Symmetry protected topological orders and the group cohomology of their symmetry group
journal, April 2013


Constructing exact representations of quantum many-body systems with deep neural networks
journal, December 2018


Neural-Network Quantum States, String-Bond States, and Chiral Topological States
journal, January 2018


Restricted Boltzmann machine learning for solving strongly correlated quantum systems
journal, November 2017


Field-Theory Representation of Gauge-Gravity Symmetry-Protected Topological Invariants, Group Cohomology, and Beyond
journal, January 2015


Spurious long-range entanglement and replica correlation length
journal, August 2016


Approximating quantum many-body wave functions using artificial neural networks
journal, January 2018


Machine learning topological states
journal, November 2017


Identifying product order with restricted Boltzmann machines
journal, March 2018


Density matrix formulation for quantum renormalization groups
journal, November 1992


Fault-tolerant quantum computation by anyons
journal, January 2003


Twisted quantum double model of topological phases in two dimensions
journal, March 2013


Efficient machine-learning representations of a surface code with boundaries, defects, domain walls, and twists
journal, January 2019


Thermodynamic Limit of Density Matrix Renormalization
journal, November 1995


Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems
journal, March 2008


Solving the quantum many-body problem with artificial neural networks
journal, February 2017


Neural-network quantum state tomography
journal, February 2018


Constructing exact representations of quantum many-body systems with deep neural networks
text, January 2018


An Area Law for One Dimensional Quantum Systems
text, January 2007


Symmetry protected topological orders and the group cohomology of their symmetry group
text, January 2011


Twisted Quantum Double Model of Topological Phases in Two--Dimension
text, January 2012


Twisted Gauge Theory Model of Topological Phases in Three Dimensions
text, January 2014


Spurious Long-range Entanglement and Replica Correlation Length
text, January 2016


Machine Learning Topological States
text, January 2016


Restricted Boltzmann Machines for the Long Range Ising Models
text, January 2017


Quantum Entanglement in Neural Network States
text, January 2017


Identifying Product Order with Restricted Boltzmann Machines
text, January 2017


Neural-Network Quantum States, String-Bond States, and Chiral Topological States
text, January 2017


Chiral Topological Phases from Artificial Neural Networks
text, January 2017


Quantum Neural Network States: A Brief Review of Methods and Applications
text, January 2018


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