Publications

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[ Author(Asc)] Title Type Year
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F
C. Figgatt, Ostrander, A., Linke, N. M., Landsman, K. A., Zhu, D., Maslov, D., and Monroe, C., Parallel Entangling Operations on a Universal Ion Trap Quantum Computer, 2018.
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.
B. Fefferman and Umans, C., Pseudorandom generators and the BQP vs. PH problem, 2010.
B. Fefferman and Kimmel, S., Quantum vs Classical Proofs and Subset Verification, 2015.
B. Fefferman and Lin, C. Yen- Yu, A Complete Characterization of Unitary Quantum Space, 2016.
B. Fefferman and Lin, C. Yen- Yu, Quantum Merlin Arthur with Exponentially Small Gap, 2016.
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.
B. Fefferman, Shaltiel, R., Umans, C., and Viola, E., On Beating the Hybrid Argument, Proceedings, ITCS, vol. 9, pp. 809-843, 2012.
B. Fefferman and Umans, C., The Power of Quantum Fourier Sampling, 2015.
B. Fefferman, Kobayashi, H., Lin, C. Yen- Yu, Morimae, T., and Nishimura, H., Space-Efficient Error Reduction for Unitary Quantum Computations, 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016), vol. 55, p. 14:1--14:14, 2016.
E. Farhi, Kimmel, S., and Temme, K., A Quantum Version of Schöning's Algorithm Applied to Quantum 2-SAT, Quantum Information and Computation, vol. 16, no. 13-14, 2016.
K. Fang, Wang, X., Tomamichel, M., and Berta, M., Quantum Channel Simulation and the Channel's Smooth Max-Information, 2018.
D
S. K. Dutta, Strauch, F. W., Lewis, R. M., Mitra, K., Paik, H., Palomaki, T. A., Tiesinga, E., Anderson, J. R., Dragt, A. J., Lobb, C. J., and Wellstood, F. C., Multilevel effects in the Rabi oscillations of a Josephson phase qubit, Physical Review B, vol. 78, no. 10, 2008.
V. Dunjko, Taylor, J. M., and Briegel, H. J., Framework for learning agents in quantum environments, 2015.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Exponential improvements for quantum-accessible reinforcement learning, 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, Taylor, J. M., and Briegel, H. J., Quantum-Enhanced Machine Learning, Physical Review Letters, vol. 117, no. 13, p. 130501, 2016.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning, 2017.
J. S. Douglas, Habibian, H., Hung, C. - L., Gorshkov, A. V., Kimble, H. J., and Chang, D. E., Quantum many-body models with cold atoms coupled to photonic crystals, Nature Photonics, vol. 9, no. 5, pp. 326 - 331, 2015.
J. S. Douglas, Habibian, H., Gorshkov, A. V., Kimble, H. J., and Chang, D. E., Atom induced cavities and tunable long-range interactions between atoms trapped near photonic crystals, Nature Photon. 9, 326 (2015), 2015.