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Z
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.
R. Zektzer, Lu, X., Hoang, K. Tuan, Shrestha, R., Austin, S., Zhou, F., Chanana, A., Holland, G., Westly, D., Lett, P., Gorshkov, A. V., and Srinivasan, K., “Strong interactions between integrated microresonators and alkali atomic vapors: towards single-atom, single-photon operation”, 2024.
M. P. Zaletel, Lukin, M., Monroe, C., Nayak, C., Wilczek, F., and Yao, N. Y., “Colloquium: Quantum and Classical Discrete Time Crystals”, 2023.
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.
A. Zabalo, Gullans, M., Wilson, J. H., Vasseur, R., Ludwig, A. W. W., Gopalakrishnan, S., Huse, D. A., and Pixley, J. H., “Operator Scaling Dimensions and Multifractality at Measurement-Induced Transitions”, Physical Review Letters, vol. 128, 2022.
A. Zabalo, Wilson, J. H., Gullans, M., Vasseur, R., Gopalakrishnan, S., Huse, D. A., and Pixley, J. H., “Infinite-randomness criticality in monitored quantum dynamics with static disorder”, 2022.
Y
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., “Quantum simulation with hybrid tensor networks”, 2020.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., “Quantum Simulation with Hybrid Tensor Networks”, Physical Review Letters, vol. 127, 2021.
X. Yuan, Zeng, P., Gao, M., and Zhao, Q., “One-shot dynamical resource theory”, 2020.
J. Yu, Chen, Y. - A., and Sarma, S. Das, “Euler-obstructed Cooper pairing: Nodal superconductivity and hinge Majorana zero modes”, Physical Review B, vol. 105, 2022.
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.
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., “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.
J. T. Young, Gorshkov, A. V., and Spielman, I. B., “Feedback-stabilized dynamical steady states in the Bose-Hubbard model”, Phys. Rev. Research, vol. 3, no. 4, p. 043075 , 2021.
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.
A. W. Young, Eckner, W. J., Schine, N., Childs, A. M., and Kaufman, A. M., “Tweezer-programmable 2D quantum walks in a Hubbard-regime lattice”, Science, vol. 377, no. 6608, pp. 885-889, 2022.
J. T. Young, Bienias, P., Belyansky, R., Kaufman, A. M., and Gorshkov, A. V., “Asymmetric blockade and multi-qubit gates via dipole-dipole interactions”, 2020.
J. T. Young, Gorshkov, A. V., Foss-Feig, M., and Maghrebi, M. F., “Non-equilibrium fixed points of coupled Ising models”, Phys. Rev. X , vol. 10, no. 011039 , 2020.
J. Youm, Iosue, J. T., Ehrenberg, A., Wang, Y. - X., and Gorshkov, A. V., “Average Rényi Entanglement Entropy in Gaussian Boson Sampling”, 2024.
X. You and Wu, X., “Exponentially Many Local Minima in Quantum Neural Networks”, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, pp. 12144-12155, 2021.