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Strongly interacting quantum systems described by non-stoquastic Hamiltonians exhibit rich low-temperature physics.
Antiferromagnetism ,
W. Marshall and R. E. Peierls, · 1955
Earlier work this paper cites.
Two soluble models of an antiferromagnetic chain ,
E. Lieb, T. Schultz and D. Mattis, · 1961
Earlier work this paper cites.
Ordering energy levels of interacting spin systems ,
E. Lieb and D. Mattis, · 1962
Earlier work this paper cites.
The numerical solution of variational problems ,
S. Dreyfus, · 1962
Earlier work this paper cites.
Rall, louis b., automatic differentiation: Techniques and applications. lecture notes in computer science 120. berlin-heidelberg-new york, springer-verlag 1981. viii, 165 s., dm 21, 50. us $9.80. isbn 3-540-10861-0 ,
F. Grund, · 1982
Earlier work this paper cites.
Feature discovery by competitive learning* ,
D. E. Rumelhart and D. Zipser, · 1985
Earlier work this paper cites.
Possible spin-liquid state at large s s for the frustrated square heisenberg lattice ,
P. Chandra and B. Doucot, · 1988
Earlier work this paper cites.
Phase diagram of the frustrated spin-1/2 heisenberg antiferromagnet in 2 dimensions ,
E. Dagotto and A. Moreo, · 1989
Earlier work this paper cites.
Zero-temperature ordering in two-dimensional frustrated quantum heisenberg antiferromagnets ,
M. P. Gelfand, R. R. P. Singh and D. A. Huse, · 1989
Earlier work this paper cites.
Sign problem in the numerical simulation of many-electron systems ,
E. Y. Loh, J. E. Gubernatis, R. T. Scalettar, S. R. White, D. J. Scalapino and R. L. Sugar, · 1990
Earlier work this paper cites.
Exact diagonalization of finite frustrated spin-(1/2 heisenberg models ,
F. Figueirido, A. Karlhede, S. Kivelson, S. Sondhi, M. Rocek and D. S. Rokhsar, · 1990
Earlier work this paper cites.
Dimer versus twist order in the j 1 {\mathit{j}}_{1} - j 2 {\mathit{j}}_{2} model ,
R. R. P. Singh and R. Narayanan, · 1990
Earlier work this paper cites.
Large-n expansion for frustrated quantum antiferromagnets ,
N. Read and S. Sachdev, · 1991
Earlier work this paper cites.
Approximation capabilities of multilayer feedforward networks ,
K. Hornik, · 1991
Earlier work this paper cites.
Finite-size scaling for the two-dimensional frustrated quantum heisenberg antiferromagnet ,
H. J. Schulz and T. A. L. Ziman, · 1992
Earlier work this paper cites.
Frustrated two-dimensional quantum heisenberg antiferromagnet at low temperatures ,
N. B. Ivanov and P. C. Ivanov, · 1992
Earlier work this paper cites.
Density matrix formulation for quantum renormalization groups ,
S. R. White, · 1992
Earlier work this paper cites.
Density-matrix algorithms for quantum renormalization groups ,
S. R. White, · 1993
Earlier work this paper cites.
On the violation of marshall-peierls sign rule in the frustrated j1-j2 heisenberg antiferromagnet ,
J. Richter, N. Ivanov and K. Retzlaff, · 1994
Earlier work this paper cites.
Direct calculation of the spin stiffness in the j 1 {\mathit{j}}_{1} - j 2 {\mathit{j}}_{2} heisenberg antiferromagnet ,
T. Einarsson and H. J. Schulz, · 1995
Earlier work this paper cites.
Dynamical mean-field theory of strongly correlated fermion systems and the limit of infinite dimensions ,
A. Georges, G. Kotliar, W. Krauth and M. J. Rozenberg, · 1996
Earlier work this paper cites.
Magnetic order and disorder in the frustrated quantum heisenberg antiferromagnet in two dimensions ,
H. Schulz, T. Ziman and D. Poilblanc, · 1996
Earlier work this paper cites.
Finite-size scaling of the ground-state parameters of the two-dimensional heisenberg model ,
A. W. Sandvik, · 1997
Earlier work this paper cites.
Numerical study of the two-dimensional heisenberg model using a green function monte carlo technique with a fixed number of walkers ,
M. Calandra Buonaura and S. Sorella, · 1998
Earlier work this paper cites.
Gradient-based learning applied to document recognition ,
Y. Lecun, L. Bottou, Y. Bengio and P. Haffner, · 1998
Earlier work this paper cites.
Green function monte carlo with stochastic reconfiguration ,
S. Sorella, · 1998
Earlier work this paper cites.
Dimer order with striped correlations in the J 1 − j 2 {J}_{1}{-j}_{2} heisenberg model ,
R. R. P. Singh, Z. Weihong, C. J. Hamer and J. Oitmaa, · 1999
Earlier work this paper cites.
Handbook of complex variables ,
S. G. Krantz and S. G. Krantz, · 1999
Earlier work this paper cites.
Spontaneous plaquette dimerization in the j 1 − − j 2 {\mathit{j}}_{1}--{\mathit{j}}_{2} heisenberg model ,
L. Capriotti and S. Sorella, · 2000
Earlier work this paper cites.
Resonating valence bond wave functions for strongly frustrated spin systems ,
L. Capriotti, F. Becca, A. Parola and S. Sorella, · 2001
Earlier work this paper cites.
Generalized lanczos algorithm for variational quantum monte carlo ,
S. Sorella, · 2001
Earlier work this paper cites.
Statistical physics of spin glasses and information processing: an introduction ,
H. Nishimori, · 2001
Earlier work this paper cites.
Approximation by fully complex multilayer perceptrons ,
T. Kim and T. Adalı, · 2003
Earlier work this paper cites.
Frustrated Spin Systems ,
H. T. Diep, · 2005
Earlier work this paper cites.
Computational complexity and fundamental limitations to fermionic quantum monte carlo simulations ,
M. Troyer and U.-J. Wiese, · 2005
Earlier work this paper cites.
Dirac-type nodal spin liquid revealed by machine learning (2020), 2005.14142
Y. Nomura and M. Imada, · 2005
Earlier work this paper cites.
Plaquette valence-bond crystal in the frustrated heisenberg quantum antiferromagnet on the square lattice ,
M. Mambrini, A. Läuchli, D. Poilblanc and F. Mila, · 2006
Earlier work this paper cites.
j 1 − j 2 j1\text{$-$}j2 model: First-order phase transition versus deconfinement of spinons ,
J. Sirker, Z. Weihong, O. P. Sushkov and J. Oitmaa, · 2006
Cited alongside, same era.
Weak binding between two aromatic rings: Feeling the van der waals attraction by quantum monte carlo methods ,
S. Sorella, M. Casula and D. Rocca, · 2007
Cited alongside, same era.
Ground state phases of the spin-1/2 J 1 − − J 2 {J}_{1}--{J}_{2} heisenberg antiferromagnet on the square lattice: A high-order coupled cluster treatment ,
R. Darradi, O. Derzhko, R. Zinke, J. Schulenburg, S. E. Krüger and J. Richter, · 2008
Cited alongside, same era.
Plaquette order in the J 1 − J 2 − J 3 {J}_{1}\text{$-$}{J}_{2}\text{$-$}{J}_{3} model: Series expansion analysis ,
M. Arlego and W. Brenig, · 2008
Cited alongside, same era.
Representational power of restricted boltzmann machines and deep belief networks ,
N. Le Roux and Y. Bengio, · 2008
Cited alongside, same era.
Gapless spin liquid ground state of the spin- 1 2 \frac{1}{2} J 1 − J 2 {J}_{1}-{J}_{2} heisenberg model on square lattices ,
W.-Y. Liu, S. Dong, C. Wang, Y. Han, H. An, G.-C. Guo and L. He, · 2018
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Spectral signatures of fractionalization in the frustrated heisenberg model on the square lattice ,
F. Ferrari and F. Becca, · 2018
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Symmetries and many-body excitations with neural-network quantum states ,
K. Choo, G. Carleo, N. Regnault and T. Neupert, · 2018
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Chiral topological phases from artificial neural networks ,
R. Kaubruegger, L. Pastori and J. C. Budich, · 2018
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Machine learning technique to find quantum many-body ground states of bosons on a lattice ,
H. Saito and M. Kato, · 2018
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Exploring frustrated spin systems using projected entangled pair states ,
V. Murg, F. Verstraete and J. I. Cirac, · 2009
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Master equation approach to computing rvb bond amplitudes ,
K. S. D. Beach, · 2009
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H. Burau and M. Heyl, · 2009
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Computational studies of quantum spin systems ,
A. W. Sandvik, · 2010
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Spin liquids in frustrated magnets ,
L. Balents, · 2010
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The spin-1/2 j1–j2 heisenberg antiferromagnet on the square lattice:exact diagonalization for n=40 spins ,
J. Richter and J. Schulenburg, · 2010
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Understanding the difficulty of training deep feedforward neural networks ,
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J. Bradbury, R. Frostig, P. Hawkins, M. J. Johnson, C. Leary, D. Maclaurin and S. Wanderman-Milne, · 2018
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Cluster functional renormalization group and absence of a bilinear spin liquid in the J 1 − J 2 {J}_{1}\text{$-$}{J}_{2} heisenberg model ,
D. Roscher, N. Gneist, M. M. Scherer, S. Trebst and S. Diehl, · 2019
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Critical colored-RVB states in the frustrated quantum Heisenberg model on the square lattice ,
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A high-bias, low-variance introduction to machine learning for physicists ,
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