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Programmable quantum devices are now able to probe wave functions at unprecedented levels.
A. N. Kolmogorov, On tables of random numbers, Sankhyā: The Indian Journal of Statistics, Series A 4
1963
Earlier work this paper cites.
J. Broeckhove, L. Lathouwers, E. Kesteloot, and P. Van Leuven, On the equivalence of time-dependent variational principles, Chemical Physics Letters 149
1988
Earlier work this paper cites.
G. Cybenko, Approximation by superpositions of a sigmoidal function, Math. Control. Signals, Syst. 2
1989
Earlier work this paper cites.
A. W. Sandvik and J. Kurkijärvi, Quantum Monte Carlo simulation method for spin systems, Phys. Rev. B 43
1991
Earlier work this paper cites.
K. Hornik, Approximation capabilities of multilayer feedforward networks, Neural Netw 4
1991
Earlier work this paper cites.
L. Staiger, Kolmogorov complexity and Hausdorff dimension, Information and Computation 103
1993
Earlier work this paper cites.
K. Beyer, J. Goldstein, R. Ramakrishnan, and U. Shaft, When is “nearest neighbor” meaningful?”, in Database Theory — ICDT’99 (Springer Berlin Heidelberg, Berlin, Heidelberg, 1999) pp. 217–235
1999
Earlier work this paper cites.
R. Albert and A.-L. Barabási, Statistical mechanics of complex networks, Rev. Mod. Phys. 74
2002
Earlier work this paper cites.
S. N. Dorogovtsev, S. N. Dorogovtsev, and J. F. Mendes, Evolution of networks: From biological nets to the Internet and WWW (Oxford University Press, 2003)
2003
Earlier work this paper cites.
A. W. Sandvik, Stochastic series expansion method for quantum Ising models with arbitrary interactions, Phys. Rev. E 68
2003
Earlier work this paper cites.
T. Kim and T. Adalı, Approximation by fully complex multilayer perceptrons, Neural Comput. 15
2003
Earlier work this paper cites.
A. Polkovnikov, Universal adiabatic dynamics in the vicinity of a quantum critical point, Phys. Rev. B 72
2005
Earlier work this paper cites.
W. H. Zurek, U. Dorner, and P. Zoller, Dynamics of a quantum phase transition, Phys. Rev. Lett. 95
2005
Earlier work this paper cites.
J. Dziarmaga, Dynamics of a quantum phase transition: Exact solution of the quantum Ising model, Phys. Rev. Lett. 95
2005
Earlier work this paper cites.
M. Li, P. Vitányi, et al. , An introduction to Kolmogorov complexity and its applications , Vol. 3 (Springer, 2008)
2008
Earlier work this paper cites.
N. L. Roux and Y. Bengio, Representational power of restricted Boltzmann machines and deep belief networks, Neural Comput. 20
2008
Earlier work this paper cites.
A. Clauset, C. R. Shalizi, and M. E. J. Newman, Power-law distributions in empirical data, SIAM Review 51
2009
Earlier work this paper cites.
M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, 2010)
2010
Earlier work this paper cites.
M. Van Den Nest, Simulating quantum computers with probabilistic methods, Quantum Info. Comput. 11
2011
Earlier work this paper cites.
B. Bollobás, Graph theory: an introductory course , Vol. 63 (Springer Science & Business Media, 2012)
2012
Cited alongside, same era.
A. Chandran, A. Erez, S. S. Gubser, and S. L. Sondhi, Kibble-Zurek problem: Universality and the scaling limit, Phys. Rev. B 86
2012
Cited alongside, same era.
G. D. Mahan, Many-particle physics (Springer Science & Business Media, 2013)
2013
Cited alongside, same era.
J. Alstott, E. Bullmore, and D. Plenz, powerlaw: A python package for analysis of heavy-tailed distributions, PLOS ONE 9
2014
Cited alongside, same era.
M. Posfai and A.-L. Barabasi, Network science (Cambridge University Press, 2016)
2016
Cited alongside, same era.
H.-Y. Huang, R. Kueng, and J. Preskill, Predicting many properties of a quantum system from very few measurements, Nature Physics 16
2020
Later among the works it cites.
J. Eisert, D. Hangleiter, N. Walk, I. Roth, D. Markham, R. Parekh, U. Chabaud, and E. Kashefi, Quantum certification and benchmarking, Nature Reviews Physics 2
2020
Later among the works it cites.
M. Hibat-Allah, M. Ganahl, L. E. Hayward, R. G. Melko, and J. Carrasquilla, Recurrent neural network wave functions, Phys. Rev. Res. 2
2020
Later among the works it cites.
O. Sharir, Y. Levine, N. Wies, G. Carleo, and A. Shashua, Deep autoregressive models for the efficient variational simulation of many-body quantum systems, Phys. Rev. Lett. 124
2020
Later among the works it cites.
A. Blais, A. L. Grimsmo, S. M. Girvin, and A. Wallraff, Circuit quantum electrodynamics, Rev. Mod. Phys. 93
2021
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2016
Cited alongside, same era.
A. L. Barabasi, Network Science (Cambridge University Press, 2016)
2016
Cited alongside, same era.
C. Gross and I. Bloch, Quantum simulations with ultracold atoms in optical lattices, Science 357
2017
Cited alongside, same era.
G. Carleo and M. Troyer, Solving the quantum many-body problem with artificial neural networks, Science 355
2017
Cited alongside, same era.
E. Facco, M. d’Errico, A. Rodriguez, and A. Laio, Estimating the intrinsic dimension of datasets by a minimal neighborhood information, Scientific Reports 7
2017
Cited alongside, same era.
D.-L. Deng, X. Li, and S. Das Sarma, Quantum entanglement in neural network states, Phys. Rev. X 7
2017
Cited alongside, same era.
X. Gao and L.-M. Duan, Efficient representation of quantum many-body states with deep neural networks, Nature Communications 8
2017
Cited alongside, same era.
Later among the works it cites.
C. Monroe, W. C. Campbell, L.-M. Duan, Z.-X. Gong, A. V. Gorshkov, P. W. Hess, R. Islam, K. Kim, N. M. Linke, G. Pagano, P. Richerme, C. Senko, and N. Y. Yao, Programmable quantum simulations of spin systems with trapped ions, Rev. Mod. Phys. 93
2021
Later among the works it cites.
P. Scholl, M. Schuler, H. J. Williams, A. A. Eberharter, D. Barredo, K.-N. Schymik, V. Lienhard, L.-P. Henry, T. C. Lang, T. Lahaye, A. M. Läuchli, and A. Browaeys, Quantum simulation of 2D antiferromagnets with hundreds of Rydberg atoms, Nature 595
2021
Later among the works it cites.
J. Carrasco, A. Elben, C. Kokail, B. Kraus, and P. Zoller, Theoretical and experimental perspectives of quantum verification, PRX Quantum 2
2021
Later among the works it cites.
M. Serafino, G. Cimini, A. Maritan, A. Rinaldo, S. Suweis, J. R. Banavar, and G. Caldarelli, True scale-free networks hidden by finite size effects, Proceedings of the National Academy of Sciences 118
2021
Later among the works it cites.
S. Ebadi, T. T. Wang, H. Levine, A. Keesling, G. Semeghini, A. Omran, D. Bluvstein, R. Samajdar, H. Pichler, W. W. Ho, S. Choi, S. Sachdev, M. Greiner, V. Vuletić, and M. D. Lukin, Quantum phases of matter on a 256-atom programmable quantum simulator, Nature 595
2021
Later among the works it cites.
A. Glielmo, B. E. Husic, A. Rodriguez, C. Clementi, F. Noé, and A. Laio, Unsupervised learning methods for molecular simulation data, Chemical Reviews 121
2021
Later among the works it cites.
A. Elben, S. T. Flammia, H.-Y. Huang, R. Kueng, J. Preskill, B. Vermersch, and P. Zoller, The randomized measurement toolbox, Nature Reviews Physics 5
2022
Later among the works it cites.
M. Schmitt, M. M. Rams, J. Dziarmaga, M. Heyl, and W. H. Zurek, Quantum phase transition dynamics in the two-dimensional transverse-field Ising model, Science Advances 8
2022
Later among the works it cites.
O. Sharir, A. Shashua, and G. Carleo, Neural tensor contractions and the expressive power of deep neural quantum states, Phys. Rev. B 106
2022
Later among the works it cites.
2022
Later among the works it cites.
M. Schmitt and M. Reh, jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration, SciPost Physics Codebases 10.21468/scipostphyscodeb.2 (2022)
2022
Later among the works it cites.
J. Choi, A. L. Shaw, I. S. Madjarov, X. Xie, R. Finkelstein, J. P. Covey, J. S. Cotler, D. K. Mark, H.-Y. Huang, A. Kale, H. Pichler, F. G. S. L. Brandão, S. Choi, and M. Endres, Preparing random states and benchmarking with many-body quantum chaos, Nature 613
2023
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