Built on

S. Hochreiter and J. Schmidhuber, Neural computation 9
1997
Earlier work this paper cites.
D. Basko, I. Aleiner, and B. Altshuler, Annals of Physics 321
2006
Earlier work this paper cites.
V. Oganesyan and D. A. Huse, Phys. Rev. B 75
2007
Earlier work this paper cites.
A. Pal and D. A. Huse, Phys. Rev. B 82
2010
Earlier work this paper cites.
N. H. Lindner, G. Refael, and V. Galitski, Nature Physics 7
2011
Earlier work this paper cites.
F. Wilczek, Phys. Rev. Lett. 109
2012
Earlier work this paper cites.
S. Iyer, V. Oganesyan, G. Refael, and D. A. Huse, Phys. Rev. B 87
2013
Earlier work this paper cites.
L.-F. Arsenault, A. Lopez-Bezanilla, O. A. von Lilienfeld, and A. J. Millis, Phys. Rev. B 90
2014
Earlier work this paper cites.
P. Mehta and D. J. Schwab, arXiv:1410.3831 (2014), ISSN 01406736, eprint 1410.3831, URL http://arxiv.org/abs/1410.3831
Original
2014
Earlier work this paper cites.
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, Journal of machine learning research 15
2014
Earlier work this paper cites.
L.-F. Arsenault, O. A. von Lilienfeld, and A. J. Millis, arXiv:1506.08858 (2015), eprint 1506.08858, URL http://arxiv.org/abs/1506.08858v1
Original
2015
Earlier work this paper cites.
R. Nandkishore and D. A. Huse, Annual Review of Condensed Matter Physics 6
2015
Earlier work this paper cites.
P. Ponte, Z. Papić, F. m. c. Huveneers, and D. A. Abanin, Phys. Rev. Lett. 114
2015
Earlier work this paper cites.
A. Lazarides, A. Das, and R. Moessner, Phys. Rev. Lett. 115
2015
Earlier work this paper cites.
M. Nielsen, Neural Networks and Deep Learning (Determination Press, 2015)
2015
Earlier work this paper cites.
D. P. Kingma and J. L. Ba, pp. 1–15 (2015), ISSN 09252312, eprint 1412.6980v9, URL http://arxiv.org/abs/1412.6980
Original
2015
Earlier work this paper cites.
D. J. Luitz, N. Laflorencie, and F. Alet, Physical Review B 91
2015
Earlier work this paper cites.
M. Serbyn, Z. Papić, and D. A. Abanin, Phys. Rev. X 5
2015
Earlier work this paper cites.
S. Bera, H. Schomerus, F. Heidrich-Meisner, and J. H. Bardarson, Phys. Rev. Lett. 115
2015
Earlier work this paper cites.
M. Schreiber, S. S. Hodgman, P. Bordia, H. P. Luschen, M. H. Fischer, R. Vosk, E. Altman, U. Schneider, and I. Bloch, Science 349
2015
Earlier work this paper cites.
F. Chollet et al., Keras , https://github.com/fchollet/keras (2015)
2015
Earlier work this paper cites.
L. Wang, Phys. Rev. B 94
2016
Earlier work this paper cites.
K. Ch’ng, J. Carrasquilla, R. G. Melko, and E. Khatami, arXiv:1609.02552 (2016), eprint 1609.02552, URL http://arxiv.org/abs/1609.02552
Original
2016
Earlier work this paper cites.
P. Broecker, J. Carrasquilla, R. G. Melko, and S. Trebst, arXiv:1608.07848 (2016), eprint 1608.07848, URL http://arxiv.org/abs/1608.07848
Original
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2017

Learning phase transitions from dynamics

van Nieuwenburg, Evert, Bairey, Eyal, Refael, Gil

Understand

We propose the use of recurrent neural networks for classifying phases of matter based on the dynamics of experimentally accessible observables.

We demonstrate this approach by training recurrent networks on the magnetization traces of two distinct models of one-dimensional disordered and interacting spin chains.
The obtained phase diagram for a well-studied model of the many-body localization transition shows excellent agreement with previously known results obtained from time-independent entanglement spectra.
For a periodically-driven model featuring an inherently dynamical time-crystalline phase, the phase diagram that our network traces in a previously-unexplored regime coincides with an order parameter for its expected phases.

Built on

S. Hochreiter and J. Schmidhuber, Neural computation 9
1997
Earlier work this paper cites.
D. Basko, I. Aleiner, and B. Altshuler, Annals of Physics 321
2006
Earlier work this paper cites.
V. Oganesyan and D. A. Huse, Phys. Rev. B 75
2007
Earlier work this paper cites.
A. Pal and D. A. Huse, Phys. Rev. B 82
2010
Earlier work this paper cites.
N. H. Lindner, G. Refael, and V. Galitski, Nature Physics 7
2011
Earlier work this paper cites.
F. Wilczek, Phys. Rev. Lett. 109
2012
Earlier work this paper cites.
S. Iyer, V. Oganesyan, G. Refael, and D. A. Huse, Phys. Rev. B 87
2013
Earlier work this paper cites.
L.-F. Arsenault, A. Lopez-Bezanilla, O. A. von Lilienfeld, and A. J. Millis, Phys. Rev. B 90
2014
Earlier work this paper cites.
P. Mehta and D. J. Schwab, arXiv:1410.3831 (2014), ISSN 01406736, eprint 1410.3831, URL http://arxiv.org/abs/1410.3831
Original
2014
Earlier work this paper cites.
N. Srivastava, G. E. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, Journal of machine learning research 15
2014
Earlier work this paper cites.
L.-F. Arsenault, O. A. von Lilienfeld, and A. J. Millis, arXiv:1506.08858 (2015), eprint 1506.08858, URL http://arxiv.org/abs/1506.08858v1
Original
2015
Earlier work this paper cites.
R. Nandkishore and D. A. Huse, Annual Review of Condensed Matter Physics 6
2015
Earlier work this paper cites.
P. Ponte, Z. Papić, F. m. c. Huveneers, and D. A. Abanin, Phys. Rev. Lett. 114
2015
Earlier work this paper cites.
A. Lazarides, A. Das, and R. Moessner, Phys. Rev. Lett. 115
2015
Earlier work this paper cites.
M. Nielsen, Neural Networks and Deep Learning (Determination Press, 2015)
2015
Earlier work this paper cites.
D. P. Kingma and J. L. Ba, pp. 1–15 (2015), ISSN 09252312, eprint 1412.6980v9, URL http://arxiv.org/abs/1412.6980
Original
2015
Earlier work this paper cites.
D. J. Luitz, N. Laflorencie, and F. Alet, Physical Review B 91
2015
Earlier work this paper cites.
M. Serbyn, Z. Papić, and D. A. Abanin, Phys. Rev. X 5
2015
Earlier work this paper cites.
S. Bera, H. Schomerus, F. Heidrich-Meisner, and J. H. Bardarson, Phys. Rev. Lett. 115
2015
Earlier work this paper cites.
M. Schreiber, S. S. Hodgman, P. Bordia, H. P. Luschen, M. H. Fischer, R. Vosk, E. Altman, U. Schneider, and I. Bloch, Science 349
2015
Earlier work this paper cites.
F. Chollet et al., Keras , https://github.com/fchollet/keras (2015)
2015
Earlier work this paper cites.
L. Wang, Phys. Rev. B 94
2016
Earlier work this paper cites.
K. Ch’ng, J. Carrasquilla, R. G. Melko, and E. Khatami, arXiv:1609.02552 (2016), eprint 1609.02552, URL http://arxiv.org/abs/1609.02552
Original
2016
Earlier work this paper cites.
P. Broecker, J. Carrasquilla, R. G. Melko, and S. Trebst, arXiv:1608.07848 (2016), eprint 1608.07848, URL http://arxiv.org/abs/1608.07848
Original
2016
Earlier work this paper cites.

Similar

T. Ohtsuki and T. Ohtsuki, J. Phys. Soc. Japan 85
2016
Cited alongside, same era.
D.-L. Deng, X. Li, and S. D. Sarma, arXiv:1609.09060 (2016), eprint 1609.09060, URL http://arxiv.org/abs/1609.09060
Original
2016
Cited alongside, same era.
P. Titum, E. Berg, M. S. Rudner, G. Refael, and N. H. Lindner, Phys. Rev. X 6
2016
Cited alongside, same era.
C. W. von Keyserlingk and S. L. Sondhi, Phys. Rev. B 93
2016
Cited alongside, same era.
D. V. Else and C. Nayak, Phys. Rev. B 93
2016
Cited alongside, same era.
H. C. Po, L. Fidkowski, T. Morimoto, A. C. Potter, and A. Vishwanath, Phys. Rev. X 6
2016
Cited alongside, same era.

Then

M. Schmitt and M. Heyl (2017), eprint 1707.06656, URL http://arxiv.org/abs/1707.06656
Original
2017
Closest in time.
Z. Cai, arXiv:1704.05148 (2017), eprint 1704.05148, URL http://arxiv.org/abs/1704.05148
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Y. Huang and J. E. Moore (2017), eprint 1701.06246, URL http://arxiv.org/abs/1701.06246
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Original
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Cited alongside, same era.

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Cited alongside, same era.

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Cited alongside, same era.

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Original

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Original

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2017

Closest in time.

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\BibitemOpen

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\BibitemOpen

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