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2017
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning, 2017.
M. Gullans, Diehl, S., Rittenhouse, S. T., Ruzic, B. P., D'Incao, J. P., Julienne, P., Gorshkov, A. V., and Taylor, J. M., Efimov States of Strongly Interacting Photons, Physical Review Letters, vol. 119, no. 23, p. 233601, 2017.
M. Gullans, Diehl, S., Rittenhouse, S. T., Ruzic, B. P., D'Incao, J. P., Julienne, P., Gorshkov, A. V., and Taylor, J. M., Efimov States of Strongly Interacting Photons, Physical Review Letters, vol. 119, no. 23, p. 233601, 2017.
G. Alagic, Dulek, Y., Schaffner, C., and Speelman, F., Quantum Fully Homomorphic Encryption With Verification, Proceedings of ASIACRYPT 2017, pp. 438-467, 2017.
H. Sosa-Martinez, Lysne, N. K., Baldwin, C. H., Kalev, A., Deutsch, I. H., and Jessen, P. S., Experimental Study of Optimal Measurements for Quantum State Tomography, Physical Review Letters, vol. 119, no. 15, p. 150401, 2017.
M. S. J. Horvath, Thomas, R., Tiesinga, E., Deb, A. B., and Kjærgaard, N., Above threshold scattering about a Feshbach resonance for ultracold atoms in an optical collider, Nature Communications, vol. 8, no. 452, 2017.
A. Perdomo-Ortiz, Feldman, A., Ozaeta, A., Isakov, S. V., Zhu, Z., O'Gorman, B., Katzgraber, H. G., Diedrich, A., Neven, H., de Kleer, J., Lackey, B., and Biswas, R., On the readiness of quantum optimization machines for industrial applications, 2017.
A. Perdomo-Ortiz, Feldman, A., Ozaeta, A., Isakov, S. V., Zhu, Z., O'Gorman, B., Katzgraber, H. G., Diedrich, A., Neven, H., de Kleer, J., Lackey, B., and Biswas, R., On the readiness of quantum optimization machines for industrial applications, 2017.
B. J. Sawyer, Horvath, M. S. J., Tiesinga, E., Deb, A. B., and Kjærgaard, N., Dispersive optical detection of magnetic Feshbach resonances in ultracold gases, Physical Review A, vol. 96, no. 2, p. 022705, 2017.
M. C. Tran, Zuppardo, M., de Rosier, A., Knips, L., Laskowski, W., Paterek, T., and Weinfurter, H., Genuine N -partite entanglement without N -partite correlation functions, Physical Review A, vol. 95, no. 6, p. 062331, 2017.
Z. Yang, Zhang, T., Lu, J., Su, Y., Zhang, D., and Duan, Y., Extreme learning machines for regression based on V-matrix method, Cognitive Neurodynamics, 2017.
C. Figgatt, Maslov, D., Landsman, K. A., Linke, N. M., Debnath, S., and Monroe, C., Complete 3-Qubit Grover Search on a Programmable Quantum Computer, Nature Communications, accepted, 2017.
N. M. Linke, Maslov, D., Roetteler, M., Debnath, S., Figgatt, C., Landsman, K. A., Wright, K., and Monroe, C., Experimental Comparison of Two Quantum Computing Architectures, Proceedings of the National Academy of Sciences, vol. 114. pp. 3305-3310, 2017.
A. Deshpande, Fefferman, B., Foss-Feig, M., and Gorshkov, A. V., Complexity of sampling as an order parameter, 2017.
V. Dunjko, Taylor, J. M., and Briegel, H. J., Advances in Quantum Reinforcement Learning, IEEE SMC, Banff, AB, pp. 282-287, 2017.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Exponential improvements for quantum-accessible reinforcement learning, 2017.