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C. Yen- Yu Lin and Lin, H. - H., “Upper bounds on quantum query complexity inspired by the Elitzur-Vaidman bomb tester”, Theory of Computing, vol. 12, no. 18, pp. 1-35, 2016.
N. M. Linke, Maslov, D., Roetteler, M., Debnath, S., Figgatt, C., Landsman, K. A., Wright, K., and Monroe, C., “Experimental Comparison of Two Quantum Computing Architectures”, Proceedings of the National Academy of Sciences, vol. 114. pp. 3305-3310, 2017.
N. M. Linke, Gutierrez, M., Landsman, K. A., Figgatt, C., Debnath, S., Brown, K. R., and Monroe, C., “Experimental demonstration of quantum fault tolerance”, 2016.
Y. - K. Liu, “Building one-time memories from isolated qubits”, Innovations in Theoretical Computer Science (ITCS), pp. 269-286, 2013.
Y. - Y. Liu, Stehlik, J., Eichler, C., Gullans, M., Taylor, J. M., and Petta, J. R., “Semiconductor double quantum dot micromaser”, Science, vol. 347, no. 6219, pp. 285 - 287, 2015.
F. Liu, Lundgren, R., Titum, P., Pagano, G., Zhang, J., Monroe, C., and Gorshkov, A. V., “Confined Dynamics in Long-Range Interacting Quantum Spin Chains”, Phys. Rev. Lett., vol. 122 , no. 150601, 2019.
F. Liu, Whitsitt, S., Bienias, P., Lundgren, R., and Gorshkov, A. V., “Realizing and Probing Baryonic Excitations in Rydberg Atom Arrays”, 2020.
F. Liu, Yang, Z. - C., Bienias, P., Iadecola, T., and Gorshkov, A. V., “Localization and criticality in antiblockaded 2D Rydberg atom arrays”, 2020.
Y. - K. Liu, Christandl, M., and Verstraete, F., “N-representability is QMA-complete”, Phys. Rev. Lett., vol. 98, no. 11, 2007.
Y. - K. Liu, “Gibbs States and the Consistency of Local Density Matrices”, 2006.
F. Liu, Garrison, J. R., Deng, D. - L., Gong, Z. - X., and Gorshkov, A. V., “Asymmetric Particle Transport and Light-Cone Dynamics Induced by Anyonic Statistics”, Phys. Rev. Lett, vol. 121, no. 250404, 2018.
Y. Liu, Gomez, E., Maxwell, S. E., Turner, L. D., Tiesinga, E., and Lett, P. D., “Number Fluctuations and Energy Dissipation in Sodium Spinor Condensates”, Physical Review Letters, vol. 102, no. 22, 2009.
Y. - K. Liu, “Quantum Algorithms Using the Curvelet Transform”, Proc. ACM Symposium on Theory of Computing (STOC), pp. 391-400, 2009.
Y. - K. Liu, “Privacy Amplification in the Isolated Qubits Model”, Eurocrypt, pp. 785-814, 2014.
Y. Liu, Jung, S., Maxwell, S. E., Turner, L. D., Tiesinga, E., and Lett, P. D., “Quantum Phase Transitions and Continuous Observation of Spinor Dynamics in an Antiferromagnetic Condensate ”, Physical Review Letters, vol. 102, no. 12, 2009.
F. Liu, Lundgren, R., Titum, P., Garrison, J. R., and Gorshkov, A. V., “Circuit Complexity across a Topological Phase Transition”, Physical Review Research , vol. 2, no. 1, p. 013323, 2020.
Y. - K. Liu, “An Uncertainty Principle for the Curvelet Transform, and the Infeasibility of Quantum Algorithms for Finding Short Lattice Vectors”, 2023.
Y. - K. Liu and Moody, D., “Post-quantum cryptography and the quantum future of cybersecurity”, Phys. Rev. Appl., vol. 21, p. 040501, 2024.
Y. - Y. Liu, Stehlik, J., Eichler, C., Mi, X., Hartke, T. R., Gullans, M., Taylor, J. M., and Petta, J. R., “Threshold Dynamics of a Semiconductor Single Atom Maser”, Physical Review Letters, vol. 119, no. 9, p. 097702, 2017.
Y. - K. Liu, “The Complexity of the Consistency and N-representability Problems for Quantum States”, 2007.
Z. Liu, Devulapalli, D., Hangleiter, D., Liu, Y. - K., Kollár, A. J., Gorshkov, A. V., and Childs, A. M., “Efficiently verifiable quantum advantage on near-term analog quantum simulators”, 2024.
J. - P. Liu, Kolden, H. Øie, Krovi, H. K., Loureiro, N. F., Trivisa, K., and Childs, A. M., “Efficient quantum algorithm for dissipative nonlinear differential equations”, Proceedings of the National Academy of Sciences, vol. 118, 2021.
Y. - K. Liu, “Single-shot security for one-time memories in the isolated qubits model”, CRYPTO, vol. Part II, pp. 19-36, 2014.
Y. - K. Liu, “The Local Consistency Problem for Stoquastic and 1-D Quantum Systems”, 2007.
Y. - K. Liu, “An Uncertainty Principle for the Curvelet Transform, and the Infeasibility of Quantum Algorithms for Finding Short Lattice Vectors”, 2023.