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We present an experimental realization of a measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti cloud quantum computer.
Russell, S.; Norvig, P. Artificial Intelligence: A Modern Approach ; Prentice Hall: Upper Saddle River, NJ, USA, 1995
1995
Earlier work this paper cites.
Sasaki, M.; Carlini, A. Quantum learning and universal quantum matching machine. Phys. Rev. A 2002
2002
Earlier work this paper cites.
Lamata, L. Quantum machine learning and quantum biomimetics: A perspective. arXiv 2020
2004
Earlier work this paper cites.
Dong, D.; Chen, C.; Li, H.; Tarn, T.J. Quantum reinforcement learning. IEEE Trans. Syst. Man Cybern Part B (Cybern.) 2008
2008
Earlier work this paper cites.
Harrow, A.W.; Hassidim, A.; Lloyd, S. Quantum algorithm for linear systems of equations. Phys. Rev. Lett. 2009
2009
Earlier work this paper cites.
Wiebe, N.; Braun, D.; Lloyd, S. Quantum algorithm for data fitting. Phys. Rev. Lett. 2012
2012
Earlier work this paper cites.
2013
Earlier work this paper cites.
Aïmeur, E.; Brassard, G.; Gambs, S. Quantum speed-up for unsupervised learning. Mach. Learn. 2013
2013
Earlier work this paper cites.
Rebentrost, P.; Mohseni, M.; Lloyd, S. Quantum support vector machine for big data classification. Phys. Rev. Lett. 2014
2014
Earlier work this paper cites.
Lloyd, S.; Mohseni, M.; Rebentrost, P. Quantum principal component analysis. Nat. Phys. 2014
2014
Earlier work this paper cites.
Paparo, G.D.; Dunjko, V.; Makmal, A.; Martin-Delgado, M.A.; Briegel, H.J. Quantum Speedup for Active Learning Agents. Phys. Rev. X 2014
2014
Earlier work this paper cites.
Wiebe, N.; Kapoor, A.; Svore, K.M. Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning. Quantum Inf. Comput. 2015
2015
Earlier work this paper cites.
Schuld, M.; Sinayskiy, I.; Petruccione, F. An introduction to quantum machine learning. Contemp. Phys. 2015
2015
Cited alongside, same era.
2015
Cited alongside, same era.
Dunjko, V.; Taylor, J.M.; Briegel, H.J. Quantum-enhanced machine learning. Phys. Rev. Lett. 2016
2016
Cited alongside, same era.
Lau, H.K.; Pooser, R.; Siopsis, G.; Weedbrook, C. Quantum machine learning over infinite dimensions. Phys. Rev. Lett. 2017
2017
Cited alongside, same era.
Biamonte, J.; Wittek, P.; Pancotti, N.; Rebentrost, P.; Wiebe, N.; Lloyd, S. Quantum machine learning. Nature 2017
2017
Cited alongside, same era.
Perdomo-Ortiz, A.; Benedetti, M.; Realpe-Gómez, J.; Biswas, R. Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers. Quantum Sci. Technol. 2018
2018
Closest in time.
Benedetti, M.; Realpe-Gómez, J.; Perdomo-Ortiz, A. Quantum-assisted helmholtz machines: A quantum-classical deep learning framework for industrial datasets in near-term devices. Quantum Sci. Technol. 2018
2018
Closest in time.
Melnikov, A.A.; Nautrup, H.P.; Krenn, M.; Dunjko, V.; Tiersch, M.; Zeilinger, A.; Briegel, H.J. Active learning machine learns to create new quantum experiments. Proc. Natl. Acad. Sci. USA 2018
2018
Closest in time.
Cárdenas-López, F.A.; Lamata, L.; Retamal, J.C.; Solano, E. Multiqubit and multilevel quantum reinforcement learning with quantum technologies. PLoS ONE 2018
2018
Closest in time.
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Biswas, R.; Jiang, Z.; Kechezhi, K.; Knysh, S.; Mandrà, S.; O’Gorman, B.; Perdomo-Ortiz, A.; Petukhov, A.; Realpe-Gómez, J.; Rieffel, E.; et al. A NASA perspective on quantum computing: Opportunities and challenges. Parallel Comput. 2017
2017
Cited alongside, same era.
Benedetti, M.; Realpe-Gómez, J.; Biswas, R.; Perdomo-Ortiz, A. Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models. Phys. Rev. X 2017
2017
Cited alongside, same era.
Alvarez-Rodriguez, U.; Lamata, L.; Escandell-Montero, P.; Martín-Guerrero, J.D.; Solano, E. Supervised Quantum Learning without Measurements. Sci. Rep. 2017
2017
Cited alongside, same era.
Lamata, L. Basic protocols in quantum reinforcement learning with superconducting circuits. Sci. Rep. 2017
2017
Cited alongside, same era.
Ristè, D.; Silva, M.P.D.; Ryan, C.A.; Cross, A.W.; Córcoles, A.D.; Smolin, J.A.; Gambetta, J.M.; Chow, J.M.; Johnson, B.R. Demonstration of quantum advantage in machine learning. npj Quantum Inf. 2017
2017
Cited alongside, same era.
Albarrán-Arriagada, F.; Retamal, J.C.; Solano, E.; Lamata, L. Measurement-based adaptation protocol with quantum reinforcement learning. Phys. Rev. A 2018
2018
Cited alongside, same era.
Dunjko, V.; Briegel, H.J. Machine learning & artificial intelligence in the quantum domain: A review of recent progress. Rep. Prog. Phys. 2018
2018
Cited alongside, same era.
Crawford, D.; Levit, A.; Ghadermarzy, N.; Oberoi, J.S.; Ronagh, P. Reinforcement learning using quantum Boltzmann machines. Quant. Inf. Comput. 2018
2018
Closest in time.
Perdomo-Ortiz, A.; Feldman, A.; Ozaeta, A.; Isakov, S.V.; Zhu, Z.; O’Gorman, B.; Katzgraber, H.G.; Diedrich, A.; Neven, H.; de Kleer, J.; et al. Readiness of quantum optimization machines for industrial applications. Phys. Rev. Appl. 2019
2019
Closest in time.
Yu, S.; Albarrán-Arriagada, F.; Retamal, J.C.; Wang, Y.-T.; Liu, W.; Ke, Z.-J.; Meng, Y.; Li, Z.-P.; Tang, J.-S.; Solano, E.; et al. Reconstruction of a Photonic Qubit State with Quantum Reinforcement Learning. Adv. Quantum Technol. 2019
2019
Closest in time.
Albarrán-Arriagada, F.; Retamal, J.C.; Solano, E.; Lamata, L. Reinforcement learning for semi-autonomous approximate quantum eigensolver. Mach. Learn. Sci. Technol. 2020
2020
Closest in time.
Quantum Computing Powered by Light. Available online: https://www.xanadu.ai (accessed on 16 May 2020)
2020
Closest in time.
The quantum cloud service built for business. Available online: https://www.dwavesys.com/home (accessed on 16 May 2020)
2020
Closest in time.
Quantum Computing. Available online: https://www.research.ibm.com/ibm-q/ (accessed on 16 May 2020)
2020
Closest in time.
Think quantum. Available online: https://www.rigetti.com (accessed on 16 May 2020)
2020
Closest in time.