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Y
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.
X. You, Chakrabarti, S., Chen, B., and Wu, X., “Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels”, 2023.
X. You, Chakrabarti, S., and Wu, X., “A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers”, 2022.
J. Youm, Iosue, J. T., Ehrenberg, A., Wang, Y. - X., and Gorshkov, A. V., “Average Rényi Entanglement Entropy in Gaussian Boson Sampling”, 2024.
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, 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.
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. 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.
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.
R. Yousefzadeh and O'Leary, D. P., “Investigating Decision Boundaries of Trained Neural Networks”, 2019.
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.
X. Yuan, Zeng, P., Gao, M., and Zhao, Q., “One-shot dynamical resource theory”, 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, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., “Quantum simulation with hybrid tensor networks”, 2020.
Z
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.
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.
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.
M. P. Zaletel, Lukin, M., Monroe, C., Nayak, C., Wilczek, F., and Yao, N. Y., “Colloquium: Quantum and Classical Discrete Time Crystals”, 2023.
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.
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.