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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”, Phys. Rev. Applied , vol. 13, no. 034075 , 2020.
J. P. Zwolak, Kalantre, S. S., McJunkin, T., Weber, B. J., and Taylor, J. M., “Ray-based classification framework for high-dimensional data”, 2020.
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.
D. Zhu, Johri, S., Nguyen, N. H., C. Alderete, H., Landsman, K. A., Linke, N. M., Monroe, C., and Matsuura, A. Y., “Probing many-body localization on a noisy quantum computer”, 2020.
S. Zhu, Hung, S. - H., Chakrabarti, S., and Wu, X., “On the Principles of Differentiable Quantum Programming Languages”, 2020.
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”, Phys. Rev. Lett. , vol. 124, no. 180601, 2020.
Q. Zhao and Zhou, Y., “Constructing Multipartite Bell inequalities from stabilizers”, 2020.
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.
Q. Zhao and Yuan, X., “Exploiting anticommutation in Hamiltonian simulation”, 2021.
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.
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., Mink, A., and Knill, E., “Experimental Low-Latency Device-Independent Quantum Randomness”, Phys. Rev. Lett. , vol. 124, no. 010505, 2020.
C. Zhang, Leng, J., and Li, T., “Quantum Algorithms for Escaping from Saddle Points”, 2020.
Y. Zhang, Fu, H., and Knill, E., “Efficient randomness certification by quantum probability estimation”, Phys. Rev. Research , vol. 2, no. 013016, 2020.
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, 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.
E. Zeuthen, Schliesser, A., Taylor, J. M., and Sørensen, A. S., “Electro-optomechanical equivalent circuits for quantum transduction”, 2018.
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.
Y
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., “Quantum simulation with hybrid tensor networks”, 2020.
X. Yuan, Zeng, P., Gao, M., and Zhao, Q., “One-shot dynamical resource theory”, 2020.
R. Yousefzadeh and O'Leary, D. P., “Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis”, 2020.
R. Yousefzadeh and O'Leary, D. P., “Interpreting Neural Networks Using Flip Points”, 2019.
R. Yousefzadeh and O'Leary, D. P., “A Probabilistic Framework and a Homotopy Method for Real-time Hierarchical Freight Dispatch Decisions”, 2019.
R. Yousefzadeh and O'Leary, D. P., “Refining the Structure of Neural Networks Using Matrix Conditioning”, 2019.