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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.
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.
F. G. S. L. Brandão, Kalev, A., Li, T., Lin, C. Yen- Yu, Svore, K. M., and Wu, X., Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning, 2017.
K. Hyatt, Garrison, J. R., and Bauer, B., Extracting entanglement geometry from quantum states, Physical Review Letters, vol. 119, no. 14, 2017.
B. Fefferman, Foss-Feig, M., and Gorshkov, A. V., Exact sampling hardness of Ising spin models, Physical Review A, vol. 96, no. 3, p. 032324, 2017.
A. M. Childs and Li, T., Efficient simulation of sparse Markovian quantum dynamics, Quantum Information and Computation, vol. 17, pp. 901-947, 2017.
Z. - X. Gong, Foss-Feig, M., Brandão, F. G. S. L., and Gorshkov, A. V., Entanglement area laws for long-range interacting systems, Physical Review Letters, vol. 119, no. 5, p. 050501, 2017.
G. Wang, Efficient quantum algorithms for analyzing large sparse electrical networks, Quantum Information & Computation, vol. 17, no. 11&12, pp. 987-1026, 2017.
C. Miller, An Elementary Proof of Private Random Number Generation from Bell Inequalities, 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.
K. Rudinger, Kimmel, S., Lobser, D., and Maunz, P., Experimental demonstration of cheap and accurate phase estimation, Physical Review Letters, vol. 118, no. 19, p. 190502, 2017.
M. Foss-Feig, Niroula, P., Young, J. T., Hafezi, M., Gorshkov, A. V., Wilson, R. M., and Maghrebi, M. F., Emergent equilibrium in many-body optical bistability, Physical Review A, vol. 95, p. 043826, 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.
P. Bierhorst, Knill, E., Glancy, S., Mink, A., Jordan, S. P., Rommal, A., Liu, Y. - K., Christensen, B., Nam, S. Woo, and Shalm, L. K., Experimentally Generated Random Numbers Certified by the Impossibility of Superluminal Signaling, 2017.
S. Ganeshan, Gorshkov, A. V., Gurarie, V., and Galitski, V. M., Exactly soluble model of boundary degeneracy, Physical Review B, vol. 95, 2017.
J. Cotler, Hayden, P., Penington, G., Salton, G., Swingle, B., and Walter, M., Entanglement Wedge Reconstruction via Universal Recovery Channels, 2017.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Exponential improvements for quantum-accessible reinforcement learning, 2017.