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Recently, tremendous progress has been made in the field of quantum science and technologies: different platforms for quantum simulation as well as quantum computing, ranging from superconducting qubits to neutral atoms, are starting to reach unprecedentedly large systems.
“Measures of distance between probability distributions”
J.K Chung, P.L Kannappan, C.T Ng, and P.K Sahoo · 1989
Earlier work this paper cites.
“Query by committee”
H. S. Seung, M. Opper, and H. Sompolinsky · 1992
Earlier work this paper cites.
“Distributional clustering of English words”
Fernando Pereira, Naftali Tishby, and Lillian Lee · 1993
Earlier work this paper cites.
“Quantum-state estimation”
Z. Hradil · 1997
Earlier work this paper cites.
“Selective sampling using the query by committee algorithm”
Yoav Freund, H. Sebastian Seung, Eli Shamir, and Naftali Tishby · 1997
Earlier work this paper cites.
“Employing em and pool-based active learning for text classification”
Andrew McCallum and Kamal Nigam · 1998
Earlier work this paper cites.
“Support vector machine active learning for image retrieval”
S. Tong and E. Chang · 2001
Earlier work this paper cites.
“Learning cost-sensitive active classifiers”
R. Greiner, A. J. Grove, and D. Roth · 2002
Earlier work this paper cites.
“Scalable multiparticle entanglement of trapped ions”
H. Häffner, W. Hänsel, C. F. Roos, J. Benhelm, D. Chek-al kar, M. Chwalla, T. Körber, U. D. Rapol, M. Riebe, P. O. Schmidt, C. Becher, O. Gühne, W. Dür, and R. Blatt · 2005
Earlier work this paper cites.
“Combining active and semi-supervised learning for spoken language understanding”
G. Tur, D. Hakkani-Tür, and R. E. Schapire · 2005
Earlier work this paper cites.
“Active learning literature survey”
B. Settles · 2009
Earlier work this paper cites.
“Efficient quantum state tomography”
M. Cramer, M. B. Plenio, S. T. Flammia, R. Somma, D. Gross, S. D. Bartlett, O. Landon-Cardinal, D. Poulin, and Y.-K. Liu · 2010
Earlier work this paper cites.
“The density-matrix renormalization group in the age of matrix product states”
U. Schollwoeck · 2011
Earlier work this paper cites.
“Quantum simulations with ultracold quantum gases”
I. Bloch, J. Dalibard, and S. Nascimbène · 2012
Earlier work this paper cites.
“Adaptive bayesian quantum tomography”
F. Huszár and N. M. T. Houlsby · 2012
Earlier work this paper cites.
“Perfect sampling with unitary tensor networks”
A. J. Ferris and G. Vidal · 2012
Earlier work this paper cites.
“Scalable reconstruction of density matrices”
T. Baumgratz, D. Gross, M. Cramer, and M. B. Plenio · 2013
Earlier work this paper cites.
“Adaptive quantum state tomography improves accuracy quadratically”
D. H. Mahler, L. A. Rozema, A. Darabi, C. Ferrie, R. Blume-Kohout, and A. M. Steinberg · 2013
Earlier work this paper cites.
“Self-guided quantum tomography”
C. Ferrie · 2014
Earlier work this paper cites.
“Adaptive quantum tomography”
S. S. Straupe · 2016
Earlier work this paper cites.
“Deep learning”
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
Earlier work this paper cites.
“Efficient tomography of a quantum many-body system”
B. P. Lanyon, C. Maier, M. Holzäpfel, T. Baumgratz, C. Hempel, P. Jurcevic, I. Dhand, A. S. Buyskikh, A. J. Daley, M. Cramer, M. B. Plenio, R. Blatt, and C. F. Roos · 2017
Cited alongside, same era.
“Solving the quantum many-body problem with artificial neural networks”
Giuseppe Carleo and Matthias Troyer · 2017
Cited alongside, same era.
“Efficient representation of quantum many-body states with deep neural networks”
Xun Gao and Lu-Ming Duan · 2017
Cited alongside, same era.
“Symmetry-protected tensor networks”
C. Hubig · 2017
Cited alongside, same era.
“Simple ℤ 2 \mathbb{Z}_{2} lattice gauge theories at finite fermion density”
C. Prosko, S.-P. Lee, and J. Maciejko · 2017
Cited alongside, same era.
“Quantum computing in the nisq era and beyond”
J. Preskill · 2018
Cited alongside, same era.
“Active learning approach to optimization of experimental control”
Y. Wu, Z. Meng, K. Wen, C. Mi, J. Zhang, and H. Zhai · 2020
Later among the works it cites.
“Quantum many-body scar states with emergent kinetic constraints and finite-entanglement revivals”
T. Iadecola and M. Schecter · 2020
Later among the works it cites.
“Confined phases of one-dimensional spinless fermions coupled to Z 2 {Z}_{2} gauge theory”
U. Borla, R. Verresen, F. Grusdt, and S. Moroz · 2020
Later among the works it cites.
“Predicting many properties of a quantum system from very few measurements”
H.-Y. Huang, R. Kueng, and J. Preskill · 2020
Later among the works it cites.
“Models in quantum computing: a systematic review”
P. Nimbe, B. A. Weyori, and A. F. Adekoya · 2021
Later among the works it cites.
“Quantum simulators: Architectures and opportunities”
E. Altman, K. R. Brown, G. Carleo, L. D. Carr, E. Demler, C. Chin, B. DeMarco, S. E. Economou, M. A. Eriksson, K. C. Fu, M. Greiner, K. R.A. Hazzard, R. G. Hulet, A. J. Kollár, B. L. Lev, and authors · 2021
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“Neural-network quantum state tomography”
G. Torlai, G. Mazzola, Ju. Carrasquilla, M. Troyer, R. Melko, and G. Carleo · 2018
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“Equivalence of restricted boltzmann machines and tensor network states”
Jing Chen, Song Cheng, Haidong Xie, Lei Wang, and Tao Xiang · 2018
Cited alongside, same era.
“Learning hard quantum distributions with variational autoencoders”
A. Rocchetto, E. Grant, S. Strelchuk, G. Carleo, and S. Severini · 2018
Cited alongside, same era.
“Latent space purification via neural density operators”
Giacomo Torlai and Roger G. Melko · 2018
Cited alongside, same era.
“Restricted boltzmann machines in quantum physics”
R. G. Melko, G. Carleo, J. Carrasquilla, and J. I. Cirac · 2019
Cited alongside, same era.
“Reconstructing quantum states with generative models”
J. Carrasquilla, G. Torlai, R. G. Melko, and L. Aolita · 2019
Cited alongside, same era.
Later among the works it cites.
“How to use neural networks to investigate quantum many-body physics”
J. Carrasquilla and G. Torlai · 2021
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“U(1)-symmetric recurrent neural networks for quantum state reconstruction”
S. Morawetz, I. J. S. De Vlugt, and R. G. Carrasquilla, J.and Melko · 2021
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“Quantum state tomography with conditional generative adversarial networks”
S. Ahmed, C. Sánchez Muñoz, F. Nori, and A. F. Kockum · 2021
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“Attention-based quantum tomography”
P. Cha, P. Ginsparg, F. Wu, J. Carrasquilla, P. L. McMahon, and E.-A. Kim · 2021
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“Confinement and mott transitions of dynamical charges in one-dimensional lattice gauge theories”
M. Kebrič, L. Barbiero, C. Reinmoser, U. Schollwöck, and F. Grusdt · 2021
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“Probing topological spin liquids on a programmable quantum simulator”
G. Semeghini, H. Levine, A. Keesling, S. Ebadi, T. T. Wang, D. Bluvstein, R. Verresen, H. Pichler, M. Kalinowski, R. Samajdar, A. Omran, S. Sachdev, A. Vishwanath, M. Greiner, V. Vuletić, and authors · 2021
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“Realizing topologically ordered states on a quantum processor”
K. J. Satzinger, Y.-J Liu, A. Smith, C. Knapp, M. Newman, C. Jones, Z. Chen, C. Quintana, X. Mi, A. Dunsworth, C. Gidney, I. Aleiner, F. Arute, K. Arya, J. Atalaya, and authors · 2021
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“Quantum algorithm implementations for beginners”
Abhijith J., Adetokunbo Adedoyin, John Ambrosiano, Petr Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan Mniszewski, Balu Nadiga, Daniel O’malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard Zamora, Wei Zhu, Stephan Eidenbenz, Andreas Bärtschi, Patrick J. Coles, Marc Vuffray, and Andrey Y. Lokhov · 2022
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“Transformer quantum state: A multipurpose model for quantum many-body problems”
Yuan-Hang Zhang and Massimiliano Di Ventra · 2023
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