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Y
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.
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.
J. Youm, Iosue, J. T., Ehrenberg, A., Wang, Y. - X., and Gorshkov, A. V., “Average Rényi Entanglement Entropy in Gaussian Boson Sampling”, 2024.
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, 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, Bienias, P., Belyansky, R., Kaufman, A. M., and Gorshkov, A. V., “Asymmetric blockade and multi-qubit gates via dipole-dipole interactions”, 2020.
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, 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.
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.
R. Yousefzadeh and O'Leary, D. P., “Interpreting Neural Networks Using Flip Points”, 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, 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.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., “Quantum simulation with hybrid tensor networks”, 2020.
Z
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.
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, 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.