Publications

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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.
J. P. Zwolak, McJunkin, T., Kalantre, S. S., Dodson, J. P., MacQuarrie, E. R., Savage, D. E., Lagally, M. G., Coppersmith, S. N., Eriksson, M. A., and Taylor, J. M., Auto-tuning of double dot devices in situ with machine learning, 2019.
B. Zhu, Gadway, B., Foss-Feig, M., Schachenmayer, J., Wall, M., Hazzard, K. R. A., Yan, B., Moses, S. A., Covey, J. P., Jin, D. S., Ye, J., Holland, M., and Rey, A. Maria, Suppressing the loss of ultracold molecules via the continuous quantum Zeno effect , Physical Review Letters, vol. 112, no. 7, 2014.
T. Zhou, Xu, S., Chen, X., Guo, A., and Swingle, B., The operator Lévy flight: light cones in chaotic long-range interacting systems, 2019.
E. Zhao, Bray-Ali, N., Williams, C. J., Spielman, I. B., and Satija, I. I., Chern numbers hiding in time-of-flight images, Physical Review A, vol. 84, no. 6, 2011.
Y. Zhang, Shalm, L. K., Bienfang, J. C., Stevens, M. J., Mazurek, M. D., Nam, S. Woo, Abellán, C., Amaya, W., Mitchell, M. W., Fu, H., Miller, C. A., Mink, A., and Knill, E., Experimental Low-Latency Device-Independent Quantum Randomness, 2018.
J. Zhang, Pagano, G., Hess, P. W., Kyprianidis, A., Becker, P., Kaplan, H., Gorshkov, A. V., Gong, Z. - X., and Monroe, C., Observation of a Many-Body Dynamical Phase Transition with a 53-Qubit Quantum Simulator, Nature, vol. 551, pp. 601-604, 2017.
B. Zhan, Kimmel, S., and Hassidim, A., Super-Polynomial Quantum Speed-ups for Boolean Evaluation Trees with Hidden Structure, ITCS '12 Proceedings of the 3rd Innovations in Theoretical Computer Science Conference, pp. 249-265, 2012.
E. Zeuthen, Schliesser, A., Sørensen, A. S., and Taylor, J. M., Figures of merit for quantum transducers, 2016.
E. Zeuthen, Schliesser, A., Taylor, J. M., and Sørensen, A. S., Electro-optomechanical equivalent circuits for quantum transduction, 2018.
E. Zeuthen, Gullans, M., Maghrebi, M. F., and Gorshkov, A. V., Correlated Photon Dynamics in Dissipative Rydberg Media, Physical Review Letters, vol. 119, no. 4, p. 043602, 2017.
D. M. Zajac, Sigillito, A. J., Russ, M., Borjans, F., Taylor, J. M., Burkard, G., and Petta, J. R., Resonantly driven CNOT gate for electron spins, Science, vol. 359, no. 6374, pp. 439-442, 2018.
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R. Yousefzadeh and O'Leary, D. P., Refining the Structure of Neural Networks Using Matrix Conditioning, 2019.
R. Yousefzadeh and O'Leary, D. P., Investigating Decision Boundaries of Trained Neural Networks, 2019.
R. Yousefzadeh and O'Leary, D. P., Interpreting Neural Networks Using Flip Points, 2019.
J. T. Young, Gorshkov, A. V., Foss-Feig, M., and Maghrebi, M. F., Non-equilibrium fixed points of coupled Ising models, 2019.
J. T. Young, Boulier, T., Magnan, E., Goldschmidt, E. A., Wilson, R. M., Rolston, S. L., Porto, J. V., and Gorshkov, A. V., Dissipation induced dipole blockade and anti-blockade in driven Rydberg systems, Phys. Rev. A, vol. 97, p. 023424, 2018.
N. Y. Yao, Laumann, C. R., Gorshkov, A. V., Bennett, S. D., Demler, E., Zoller, P., and Lukin, M. D., Topological Flat Bands from Dipolar Spin Systems, Physical Review Letters, vol. 109, no. 26, 2012.
N. Y. Yao, Jiang, L., Gorshkov, A. V., Gong, Z. - X., Zhai, A., Duan, L. - M., and Lukin, M. D., Robust Quantum State Transfer in Random Unpolarized Spin Chains, Physical Review Letters, vol. 106, no. 4, 2011.
N. Y. Yao, Jiang, L., Gorshkov, A. V., Maurer, P. C., Giedke, G., J. Cirac, I., and Lukin, M. D., Scalable Architecture for a Room Temperature Solid-State Quantum Information Processor , Nature Communications, vol. 3, p. 800, 2012.
N. Y. Yao, Bennett, S. D., Laumann, C. R., Lev, B. L., and Gorshkov, A. V., Bilayer fractional quantum Hall states with ultracold dysprosium, Physical Review A, vol. 92, no. 3, p. 033609, 2015.
N. Y. Yao, Gong, Z. - X., Laumann, C. R., Bennett, S. D., Duan, L. - M., Lukin, M. D., Jiang, L., and Gorshkov, A. V., Quantum Logic between Remote Quantum Registers, Physical Review A, vol. 87, no. 2, 2013.
N. Y. Yao, Gorshkov, A. V., Laumann, C. R., Läuchli, A. M., Ye, J., and Lukin, M. D., Realizing Fractional Chern Insulators with Dipolar Spins, Physical Review Letters, vol. 110, no. 18, 2013.
N. Y. Yao, Laumann, C. R., Gorshkov, A. V., Weimer, H., Jiang, L., J. Cirac, I., Zoller, P., and Lukin, M. D., Topologically Protected Quantum State Transfer in a Chiral Spin Liquid, Nature Communications, vol. 4, p. 1585, 2013.
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.