Fetching the paper…
Reading the bibliography…
The recognition of entanglement states is a notoriously difficult problem when no prior information is available.
Experimental quantum cryptography, J. Cryptol. 5
C. H. Bennett, F. Bessette, G. Brassard, L. Salvail, and J. Smolin, · 1992
Earlier work this paper cites.
Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM J. Comput. 26
P. W. Shor, · 1997
Earlier work this paper cites.
Separability criterion and inseparable mixed states with positive partial transposition. Phys. Lett. A 232
P. Horodecki, · 1997
Earlier work this paper cites.
Entanglement of Formation of an Arbitrary State of Two Qubits, Phys. Rev. Lett. 80
W. K. Wootters, · 1998
Earlier work this paper cites.
Quantum secret sharing, Phys. Rev. A 59
M. Hillery, V. Bužek, and A. Berthiaume, · 1999
Earlier work this paper cites.
Bell inequalities and the separability criterion. Phys. Lett. A 271
B. M. Terhal, · 2000
Earlier work this paper cites.
Experimental verification of decoherence-free subspaces, Science 290
P. G. Kwiat, A. J. Berglund, J. B. Altepeter, and A. G. White, · 2000
Earlier work this paper cites.
Measurement of qubits, Phys. Rev. A 64
D. F. V. James, P. G. Kwiat, W. J. Munro, and A. G. White, · 2001
Earlier work this paper cites.
Classical deterministic complexity of Edmonds’ problem and quantum entanglement, in Proceedings of the thirty-fifth annual ACM symposium on Theory of computing, pp. 10-19 (2003)
L. Gurvits, · 2003
Earlier work this paper cites.
Entanglement breaking channels, Rev. Math. Phys. 15
M. Horodecki, P. W. Shor, and M. B. Ruskai, · 2003
Earlier work this paper cites.
Complete family of separability criteria, Phys. Rev. A 69
A. C. Doherty, P. A. Parrilo, and F. M. Spedalieri, · 2004
Earlier work this paper cites.
Efficient algorithms using the multiplicative weights update method (Princeton University, USA, 2007)
S. Kale, · 2007
Earlier work this paper cites.
An efficient test for product states with applications to quantum Merlin-Arthur games, in Proceedings of the 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, pp. 633-642 (2010)
A. W. Harrow, and A. Montanaro, · 2010
Earlier work this paper cites.
Strong NP-hardness of the quantum separability problem, Quantum Inf. Comput. 10
S. Gharibian, · 2010
Earlier work this paper cites.
14-qubit entanglement: Creation and coherence. Phys. Rev. Lett. 106
T. Monz, P. Schindler, J. T. Barreiro, M. Chwalla, D. Nigg, W. A. Coish, M. Harlander, W. Hänsel, M. Hennrich, and R. Blatt, · 2011
Earlier work this paper cites.
Quantum Computation and Quantum Information, 10th ed. (Cambridge University Press, Cambridge, 2011)
M. A. Nielsen and I. L. Chuang, · 2011
Earlier work this paper cites.
Quantum tomography via compressed sensing: error bounds, sample complexity and efficient estimators, New J. Phys. 14
S. T. Flammia, D. Gross, Y.-K. Liu, and J. Eisert, · 2012
Cited alongside, same era.
Deep learning (MIT Press, Cambridge, 2016), Vol. 1
I. Goodfellow, Y. Bengio, A. Courville, and Y. Bengio, · 2016
Cited alongside, same era.
Introduction to online convex optimization. Foundations and Trends® in Optimization 2
E. Hazan et al., · 2016
Cited alongside, same era.
An improved semidefinite programming hierarchy for testing entanglement, Commun. Math. Phys, 352
A. W. Harrow, A. Natarajan, and X.-D. Wu, · 2017
Cited alongside, same era.
Regret minimization in behaviorally-constrained zero-sum games, Proc. Int. Conf. Mach. Learn. 70
G. Farina, C. Kroer, and T. Sandholm, · 2017
Cited alongside, same era.
Evaluating analytic gradients on quantum hardware, Phys. Rev. A 99
M. Schuld, V. Bergholm, C. Gogolin, J. Izaac, and N. Killoran, · 2019
Later among the works it cites.
Improvements in quantum SDP-solving with applications, in Proceedings of the 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019) (2019)
J. van Apeldoorn and A. Gilyén, · 2019
Later among the works it cites.
Experimental hybrid quantum-classical reinforcement learning by boson sampling: How to train a quantum cloner, Opt. Express 27
J. Jašek, K. Jiráková, K. Bartkiewicz, A. Černoch, T. Fürst and K. Lemr, · 2019
Later among the works it cites.
Quantum generative adversarial learning in a superconducting quantum circuit, Sci. Adv. 5
L. Hu, S. Wu, W. Cai, Y. Ma, X. Mu, et al., · 2019
Later among the works it cites.
An adaptive variational algorithm for exact molecular simulations on a quantum computer, Nat. Commun. 10
H. R. Grimsley, S. E. Economou, E. Barnes and N. J. Mayhall, · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
X.-L. Wang, Y.-H. Luo, H.-L. Huang, M.-C. Chen, Z.-E. Su, C. Liu, C. Chen, W. Li, Y.-Q. Fang, X. Jiang, J. Zhang, L. Li, N.-L. Liu, C.-Y. Lu, and J.-W. Pan, · 2018
Cited alongside, same era.
12-photon entanglement and scalable scattershot boson sampling with optimal entangled-photon pairs from parametric down-conversion. Phys. Rev. Lett. 121
H.-S. Zhong, Y. Li, W. Li, L.-C. Peng, Z.-E. Su, Y. Hu, Y.-M. He, X. Ding, W. Zhang, H. Li, L. Zhang, Z. Wang, L. You, X.-L. Wang, X. Jiang, L. Li, Y.-A. Chen, N.-L. Liu, C.-Y. Lu, and J.-W. Pan, · 2018
Cited alongside, same era.
Experimentally robust self-testing for bipartite and tripartite entangled states, Phys. Rev. Lett. 121
W.-H. Zhang, G. Chen, X.-X. Peng, X.-J. Ye, P. Yin, Y. Xiao, Z.-B. Hou, Z.-D. Cheng, Y.-C. Wu, J.-S. Xu, C.-F. Li, and G.-C. Guo, · 2018
Cited alongside, same era.
Experimental machine learning of quantum states, Phys. Rev. Lett. 120
J. Gao, L.-F. Qiao, Z.-Q. Jiao, Y.-C. Ma, C.-Q. Hu, R.-J. Ren, A.-L. Yang, H. Tang, M.-H. Yung, and X.-M. Jin, · 2018
Cited alongside, same era.
Quantum Computing in the NISQ era and beyond, Quantum 2
J. Preskill, · 2018
Cited alongside, same era.
Quantum Generative Adversarial Learning, Phys. Rev. Lett. 121
S. Lloyd and C. Weedbrook, · 2018
Cited alongside, same era.
Entanglement structure: entanglement partitioning in multipartite systems and its experimental detection using optimizable witnesses, Physical. Review. X. 8
H. Lu, Q. Zhao, Z.-D. Li, X.-F. Yin, X. Yuan, J.-C. Hung, L.-K. Chen, L. Li, N.-L. Liu, C.-Z. Peng, Y.-C. Liang, X. Ma, Y.-A. Chen, and J.-W. Pan, · 2018
Cited alongside, same era.
Later among the works it cites.
Quantum adversarial machine learning, Phys. Rev. Research 2
S. Lu, L.-M. Duan, and D.-L. Deng, · 2020
Later among the works it cites.
Expressive power of parametrized quantum circuits. Phys. Rev. Research 2
Y. Du, M.-H. Hsieh, T. Liu, and D. Tao, · 2020
Later among the works it cites.
Global convergence and variance reduction for a class of nonconvex-nonconcave minimax problems, Adv. Neural Inf. Process. Syst. 33
J. Yang, N. Kiyavash and N. He, · 2020
Later among the works it cites.
Realizing a quantum generative adversarial network using a programmable superconducting processor, npj Quantum Inf. (2020)
K. Huang, Z. Wang, C. Song, K. Xu, H. Li et al., · 2020
Later among the works it cites.
Y. Du, T. Huang, S. You, M.-H. Hsieh, D. Tao, · 2020
Later among the works it cites.
Accuracy of Entanglement Detection via Artificial Neural Networks and Human-Designed Entanglement Witnesses, Phys. Rev. Applied. 15
J. Roik, K. Bartkiewicz, A. Černoch, and K. Lemr, · 2021
Later among the works it cites.
Entanglement structure detection via machine learning, Quantum Sci. Technol. 6
C. Chen, C. Ren, H. Lin, and H. Lu, · 2021
Later among the works it cites.
Detecting quantum entanglement with unsupervised learning, Quantum Sci. Technol. 7
Y. Chen, Y. Pan, G. Zhang and S. Cheng, · 2021
Later among the works it cites.
Efficient methods for structured nonconvex-nonconcave min-max optimization, Int. Conf. Artif. Intell. Stat. 130,
J. Diakonikolas, C. Daskalakis and M. Jordan, · 2021
Later among the works it cites.
Efficient search of first-order nash equilibria in nonconvex-concave smooth min-max problems, SIAM J. Optim. 31
D. M. Ostrovskii, A. Lowy and M. Razaviyayn, · 2021
Later among the works it cites.
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving, Physical. Review. X. 11
J. Yao, L. Lin, and M. Bukov, · 2021
Later among the works it cites.