Publications

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W. - X. Yang and Gong, Z. - X., Simple scheme for implementing the Deutsch-Jozsa algorithm in thermal cavity , Journal of Physics A: Mathematical and Theoretical, vol. 40, no. 1, pp. 155 - 161, 2007.
W. - X. Yang and Gong, Z. - X., Efficient scheme for one-way quantum computing in thermal cavities, International Journal of Theoretical Physics, vol. 47, no. 11, pp. 2997 - 3004, 2008.
Z. - C. Yang, Liu, F., Gorshkov, A. V., and Iadecola, T., Hilbert-Space Fragmentation from Strict Confinement, Phys. Rev. Lett., vol. 124, no. 207602, 2020.
W. - X. Yang and Gong, Z. - X., Practical scheme for quantum dense coding between three parties using microwave radiation in trapped ions , Journal of Physics B: Atomic, Molecular and Optical Physics, vol. 40, no. 6, pp. 1245 - 1252, 2007.
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.
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, 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, 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, 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.
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, 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, 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.
J. Yi, Ye, W., Gottesman, D., and Liu, Z. - W., Complexity and order in approximate quantum error-correcting codes, 2023.
Y. Yoo, Lee, J., and Swingle, B., Non-equilibrium steady state phases of the interacting Aubry-Andre-Harper model, 2020.
X. You, Chakrabarti, S., and Wu, X., A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers, 2022.
X. You, Chakrabarti, S., Chen, B., and Wu, X., Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels, 2023.
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, 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., and Spielman, I. B., Feedback-stabilized dynamical steady states in the Bose-Hubbard model, Phys. Rev. Research, vol. 3, no. 4, p. 043075 , 2021.
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, 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, 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., Investigating Decision Boundaries of Trained Neural Networks, 2019.
R. Yousefzadeh and O'Leary, D. P., Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis, 2020.