RSS icon
Twitter icon
Facebook icon
Vimeo icon
YouTube icon

Publications

Export 2134 results:
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
Z
Hardware-efficient fermionic simulation with a cavity-QED system, G. Zhu, Y. Subasi, J. D. Whitfield, and M. Hafezi , NPJ QUANTUM INFORMATION, 4, 16 (2018)
Training of quantum circuits on a hybrid quantum computer, D.. Zhu, N.. M. Linke, M.. Benedetti, K.. A. Landsman, N.. H. Nguyen, C.. H. Alderete, A.. Perdomo-Ortiz, N.. Korda, A.. Garfoot, C.. Brecque, et al. , Science Advances, 5 (2019)
Instantaneous braids and Dehn twists in topologically ordered states, G. Zhu, A. Lavasani, and M. Barkeshli , Phys. Rev. B, 102, 075105 (2020)
Measurement of many-body chaos using a quantum clock, G. Zhu, M. Hafezi, and T. Grover , PHYSICAL REVIEW A, 94, 062329 (2016)
Heteronuclear molecules in an optical dipole trap, J. J. Zirbel, K. - K. Ni, S. Ospelkaus, T. L. Nicholson, M. Olsen, P. S. Julienne, C. Wieman, J. Ye, and D. S. Jin , Phys. Rev. A, 78 (2008)
Particle-hole symmetric localization in optical lattices using time modulated random on-site potentials, Y. Zou, R. Barnett, and G. Refael , Phys. Rev. B, 82 (2010)
Precise Characterization of Li-6 Feshbach Resonances Using Trap-Sideband-Resolved RF Spectroscopy of Weakly Bound Molecules, G. Zuern, T. Lompe, A. N. Wenz, S. Jochim, P. S. Julienne, and J. M. Hutson , Phys. Rev. Lett., 110 (2013)
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments, J. P. Zwolak, S. S. Kalantre, X. Wu, S. Ragole, and J. M. Taylor , PLOS ONE, 13, e0205844 (2018)
Autotuning of Double-Dot Devices In Situ with Machine Learning, J. P. Zwolak, T. McJunkin, S. S. Kalantre, J.P.. Dodson, E.R.. MacQuarrie, D.E.. Savage, M.G.. Lagally, S.N.. Coppersmith, M. A. Eriksson, and J. M. Taylor , Phys. Rev. Applied, 13, 034075 (2020)

Pages