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2018
Y. Wang, Subhankar, S., Bienias, P., Lacki, M., Tsui, T. - C., Baranov, M. A., Gorshkov, A. V., Zoller, P., Porto, J. V., and Rolston, S. L., “Dark state optical lattice with sub-wavelength spatial structure”, Phys. Rev. Lett., vol. 120, p. 083601, 2018.
K. Tong Goh, Kaniewski, J., Wolfe, E., Vértesi, T., Wu, X., Cai, Y., Liang, Y. - C., and Scarani, V., “Geometry of the quantum set of correlations”, Physical Review A, vol. 97, no. 2, p. 022104, 2018.
K. Tong Goh, Kaniewski, J., Wolfe, E., Vértesi, T., Wu, X., Cai, Y., Liang, Y. - C., and Scarani, V., “Geometry of the quantum set of correlations”, Physical Review A, vol. 97, no. 2, p. 022104, 2018.
Y. Su and Watrous, J., “Time-reversal of rank-one quantum strategy functions”, Quantum , vol. 2, no. 98, 2018.
B. Swingle and Wang, Y., “Holographic Complexity of Einstein-Maxwell-Dilaton Gravity”, J. High Energ. Phys. , vol. 106, 2018.
C. - H. Wang, Gullans, M., Porto, J. V., Phillips, W. D., and Taylor, J. M., “Photon thermalization via laser cooling of atoms”, Phys. Rev. A 98, 013834, 2018.
J. P. Zwolak, Kalantre, S. S., Wu, X., Ragole, S., and Taylor, J. M., “QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments”, PLOS ONE, vol. 13, no. 10, p. e0205844, 2018.
S. Cooper, Rozali, M., Swingle, B., Van Raamsdonk, M., Waddell, C., and Wakeham, D., “Black Hole Microstate Cosmology”, 2018.
S. Cooper, Rozali, M., Swingle, B., Van Raamsdonk, M., Waddell, C., and Wakeham, D., “Black Hole Microstate Cosmology”, 2018.
C. - H. Wang, Gullans, M., Porto, J. V., Phillips, W. D., and Taylor, J. M., “Bose Condensation of Photons Thermalized via Laser Cooling of Atoms”, 2018.
P. Bienias, Subhankar, S., Wang, Y., Tsui, T. - C., Jendrzejewski, F., Tiecke, T., Juzeliūnas, G., Jiang, L., Rolston, S. L., Porto, J. V., and Gorshkov, A. V., “Coherent optical nano-tweezers for ultra-cold atoms”, 2018.
G. Pagano, Hess, P. W., Kaplan, H. B., Tan, W. L., Richerme, P., Becker, P., Kyprianidis, A., Zhang, J., Birckelbaw, E., Hernandez, M. R., Wu, Y., and Monroe, C., “Cryogenic Trapped-Ion System for Large Scale Quantum Simulation”, 2018.
X. Wang and Wilde, M. M., “Exact entanglement cost of quantum states and channels under PPT-preserving operations”, 2018.
X. Wang and Wilde, M. M., “Exact entanglement cost of quantum states and channels under PPT-preserving operations”, 2018.
X. Wu and Chen, J., “Multiparty quantum data hiding with enhanced security and remote deletion”, p. 5, 2018.
M. Jarret, Lackey, B., Liu, A., and Wan, K., “Quantum adiabatic optimization without heuristics”, 2018.
K. Fang, Wang, X., Tomamichel, M., and Berta, M., “Quantum Channel Simulation and the Channel's Smooth Max-Information”, 2018.
F. G. S. L. Brandão, Kalev, A., Li, T., Lin, C. Yen- Yu, Svore, K. M., and Wu, X., “Quantum SDP Solvers: Large Speed-ups, Optimality, and Applications to Quantum Learning”, To appear at the 46th International Colloquium on Automata, Languages and Programming (ICALP 2019), 2018.
B. Swingle and Wang, Y., “Recovery Map for Fermionic Gaussian Channels”, 2018.
Y. Wang, Gullans, M., Browaeys, A., Porto, J. V., Chang, D. E., and Gorshkov, A. V., “Single-photon bound states in atomic ensembles”, 2018.
J. P. Wrubel, Schwettmann, A., Fahey, D. P., Glassman, Z., Pechkis, H. K., Griffin, P. F., Barnett, R., Tiesinga, E., and Lett, P. D., “A spinor Bose-Einstein condensate phase-sensitive amplifier for SU(1,1) interferometry”, Phys. Rev, vol. A 98, no. 023620, 2018.
K. Pushkin, Akerlof, C., Anbajagane, D., Armstrong, J., Arthurs, M., Bringewatt, J., Edberg, T., Hall, C., Lei, M., Raymond, R., Reh, M., Saini, D., Sander, A., Schaefer, J., Seymour, D., Swanson, N., Wang, Y., and Lorenzon, W., “Study of radon reduction in gases for rare event search experiments”, 2018.
S. - K. Chu, Ma, C. - T., and Wu, C. - H., “Two-Dimensional Dilaton Gravity Theory and Lattice Schwarzian Theory”, 2018.
2017
Y. Wang, Tran, M. C., and Taylor, J. M., “Quantum simulation of ferromagnetic Heisenberg model”, 2017.
S. S. Kalantre, Zwolak, J. P., Ragole, S., Wu, X., Zimmerman, N. M., Stewart, M. D., and Taylor, J. M., “Machine Learning techniques for state recognition and auto-tuning in quantum dots”, 2017.