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Efficient representation of quantum many-body states on classical computers is a problem of enormous practical interest.
Approximating discrete probability distributions with dependence trees
Chow, C. & Liu, C · 1968
Earlier work this paper cites.
Replica symmetry breaking and the nature of the spin glass phase
Mézard, M., Parisi, G., Sourlas, N., Toulouse, G. & Virasoro, M · 1984
Earlier work this paper cites.
Invariance and neural nets
Barnard, E. & Casasent, D · 1991
Earlier work this paper cites.
Fidelity for mixed quantum states
Jozsa, R · 1994
Earlier work this paper cites.
An introduction to quantum monte carlo methods
Sandvik, A. W · 1997
Earlier work this paper cites.
Quantum computation and quantum information (2002)
Nielsen, M. A. & Chuang, I · 2002
Earlier work this paper cites.
Information theory, inference and learning algorithms (Cambridge university press, 2003)
MacKay, D. J., Mac Kay, D. J. et al · 2003
Earlier work this paper cites.
Mirror descent and nonlinear projected subgradient methods for convex optimization
Beck, A. & Teboulle, M · 2003
Earlier work this paper cites.
Symmetric informationally complete quantum measurements
Renes, J. M., Blume-Kohout, R., Scott, A. J. & Caves, C. M · 2004
Earlier work this paper cites.
Universality in three-dimensional ising spin glasses: A monte carlo study
Katzgraber, H. G., Körner, M. & Young, A · 2006
Earlier work this paper cites.
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
Wächter, A. & Biegler, L. T · 2006
Earlier work this paper cites.
The ITensor
Fishman, M., White, S. R. & Stoudenmire, E. M · 2007
Earlier work this paper cites.
The complexity of stoquastic local hamiltonian problems
Bravyi, S., Divincenzo, D. P., Oliveira, R. & Terhal, B. M · 2008
Earlier work this paper cites.
Information, physics, and computation (Oxford University Press, 2009)
Mezard, M. & Montanari, A · 2009
Earlier work this paper cites.
Efficient quantum state tomography
Cramer, M. et al · 2010
Earlier work this paper cites.
Quantum state tomography via compressed sensing
Gross, D., Liu, Y.-K., Flammia, S. T., Becker, S. & Eisert, J · 2010
Earlier work this paper cites.
The density-matrix renormalization group in the age of matrix product states
Schollwöck, U · 2011
Earlier work this paper cites.
Distributed message passing for large scale graphical models
Schwing, A., Hazan, T., Pollefeys, M. & Urtasun, R · 2011
Earlier work this paper cites.
Quantum Phase Transitions (Cambridge University Press, 2011), 2 edn
Sachdev, S · 2011
Earlier work this paper cites.
Information-theoretic limits of selecting binary graphical models in high dimensions
Santhanam, N. P. & Wainwright, M. J · 2012
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Adam: A method for stochastic optimization
Kingma, D. P. & Ba, J · 2014
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Universal dynamic scaling in three-dimensional ising spin glasses
Liu, C.-W., Polkovnikov, A., Sandvik, A. W. & Young, A · 2015
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Monte carlo simulation of stoquastic hamiltonians
Bravyi, S · 2015
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Efficient quantum tomography
O’Donnell, R. & Wright, J · 2016
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Sample-optimal tomography of quantum states
Haah, J., Harrow, A. W., Ji, Z., Wu, X. & Yu, N · 2016
Cited alongside, same era.
Maximum entropy generators for energy-based models
Kumar, R., Ozair, S., Goyal, A., Courville, A. & Bengio, Y · 2019
Later among the works it cites.
Learning ising models with independent failures
Goel, S., Kane, D. M. & Klivans, A. R · 2019
Later among the works it cites.
Wave-function positivization via automatic differentiation
Torlai, G., Carrasquilla, J., Fishman, M. T., Melko, R. G. & Fisher, M. P · 2020
Later among the works it cites.
Eigenstate extraction with neural-network tomography
Melkani, A., Gneiting, C. & Nori, F · 2020
Later among the works it cites.
Quantum certification and benchmarking
Eisert, J. et al · 2020
Later among the works it cites.
Machine-learning quantum states in the nisq era
Torlai, G. & Melko, R. G · 2020
Later among the works it cites.
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A theory of generative convnet
Xie, J., Lu, Y., Zhu, S.-C. & Wu, Y · 2016
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Deep directed generative models with energy-based probability estimation
Kim, T. & Bengio, Y · 2016
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Interaction screening: Efficient and sample-optimal learning of Ising models
Vuffray, M., Misra, S., Lokhov, A. & Chertkov, M · 2016
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Solving the quantum many-body problem with artificial neural networks
Carleo, G. & Troyer, M · 2017
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Efficient tomography of a quantum many-body system
Lanyon, B. et al · 2017
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Schnet: A continuous-filter convolutional neural network for modeling quantum interactions
Schütt, K. et al · 2017
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Sample-efficient learning of quantum many-body systems
Anshu, A., Arunachalam, S., Kuwahara, T. & Soleimanifar, M · 2020
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Predicting many properties of a quantum system from very few measurements
Huang, H.-Y., Kueng, R. & Preskill, J · 2020
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Efficient learning of discrete graphical models
Vuffray, M., Misra, S. & Lokhov, A · 2020
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Learning of discrete graphical models with neural networks
J, A., Lokhov, A., Misra, S. & Vuffray, M · 2020
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Mitigation of readout noise in near-term quantum devices by classical post-processing based on detector tomography
Maciejewski, F. B., Zimborás, Z. & Oszmaniec, M · 2020
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U (1)-symmetric recurrent neural networks for quantum state reconstruction
Morawetz, S., De Vlugt, I. J., Carrasquilla, J. & Melko, R. G · 2021
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Optimal learning of quantum hamiltonians from high-temperature gibbs states
Haah, J., Kothari, R. & Tang, E · 2021
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Learning quantum many-body systems from a few copies
Rouzé, C. & França, D. S · 2021
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Toward efficient correction of multiqubit measurement errors: Pair correlation method
Geller, M. R. & Sun, M · 2021
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Positive-definite parametrization of mixed quantum states with deep neural networks
Vicentini, F., Rossi, R. & Carleo, G · 2022
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Efficient quantum state tomography with convolutional neural networks
Schmale, T., Reh, M. & Gärttner, M · 2022
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The randomized measurement toolbox
Elben, A. et al · 2022
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Efficient learning of ground & thermal states within phases of matter
Onorati, E., Rouzé, C., França, D. S. & Watson, J. D · 2023
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