Publications

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T. Li, Chakrabarti, S., and Wu, X., Sublinear quantum algorithms for training linear and kernel-based classifiers, Proceedings of the 36th International Conference on Machine Learning (ICML 2019) PMLR , vol. 97, pp. 3815-3824, 2019.
L. Li, Voichick, F., Hietala, K., Peng, Y., Wu, X., and Hicks, M., Verified Compilation of Quantum Oracles, 2021.
L. Li, Zhu, M., Lee, Y., Chang, L., and Wu, X., Quantum Natural Proof: A New Perspective of Hybrid Quantum-Classical Program Verification, 2022.
T. Li, Wang, C., Chakrabarti, S., and Wu, X., Sublinear classical and quantum algorithms for general matrix games, To appear in the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2020.
L. Lewis, Zhu, D., Gheorghiu, A., Noel, C., Katz, O., Harraz, B., Wang, Q., Risinger, A., Feng, L., Biswas, D., Egan, L., Vidick, T., Cetina, M., and Monroe, C., Experimental Implementation of an Efficient Test of Quantumness, 2022.
P. Hong Leung, Landsman, K. A., Figgatt, C., Linke, N. M., Monroe, C., and Brown, K. R., Robust two-qubit gates in a linear ion crystal using a frequency-modulated driving force, Physical Review Letters, vol. 120, no. 2, p. 020501, 2018.
D. Leung, Nayak, A., Shayeghi, A., Touchette, D., Yao, P., and Yu, N., Capacity Approaching Codes for Low Noise Interactive Quantum Communication, in Annual ACM Symposium on the Theory of Computing STOC 2018, 2018.
J. Leng, Zheng, Y., and Wu, X., A quantum-classical performance separation in nonconvex optimization, 2023.
J. Leng, Hickman, E., Li, J., and Wu, X., Quantum Hamiltonian Descent, 2023.
J. Leng, Li, J., Peng, Y., and Wu, X., Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding, 2024.
M. Lemeshko, Yao, N. Y., Gorshkov, A. V., Weimer, H., Bennett, S. D., Momose, T., and Gopalakrishnan, S., Controllable quantum spin glasses with magnetic impurities embedded in quantum solids , Physical Review B, vol. 88, no. 1, 2013.
P. Lazos, Marmolejo-Cossío, F. J., Zhou, X., and Katz, J., RPPLNS: Pay-per-last-N-shares with a Randomised Twist, 2021.
J. Wei Zhong Lau, Lim, K. Hwee, Bharti, K., Kwek, L. - C., and Vinjanampathy, S., Convex optimization for non-equilibrium steady states on a hybrid quantum processor, 2022.
A. A. Lasek, Barnes, C. H. W., and Ferrus, T., Isolation and manipulation of a single-donor detector in a silicon quantum dot, Phys. Rev. B, vol. 106, p. 125423, 2022.
C. M. Langlett, Yang, Z. - C., Wildeboer, J., Gorshkov, A. V., Iadecola, T., and Xu, S., Rainbow Scars: From Area to Volume Law, 2021.
K. A. Landsman, Wu, Y., Leung, P. Hong, Zhu, D., Linke, N. M., Brown, K. R., Duan, L., and Monroe, C. R., Two-qubit entangling gates within arbitrarily long chains of trapped ions, 2019.
K. A. Landsman, Figgatt, C., Schuster, T., Linke, N. M., Yoshida, B., Yao, N. Y., and Monroe, C., Verified Quantum Information Scrambling, 2018.
O. Landon-Cardinal, Liu, Y. - K., and Poulin, D., Efficient Direct Tomography for Matrix Product States, 2010.
T. D. Ladd, Jelezko, F., Laflamme, R., Nakamura, Y., Monroe, C., and O'Brien, J. L., Quantum Computing, Nature, vol. 464, no. 7285, pp. 45 - 53, 2010.
B. Lackey, A Lichnerowicz Vanishing Theorem for Finsler Spaces, in The Theory of Finslerian Laplacians and Applications, Springer, 1998, pp. 227–243.
B. Lackey, On the Gauss–Bonnet Formula in Riemann–Finsler Geometry, Bulletin of the London Mathematical Society, vol. 34, pp. 329–340, 2002.
B. Lackey and Rodrigues, N., Nonlocal games, synchronous correlations, and Bell inequalities, 2017.
B. Lackey, A model of trophodynamics, Nonlinear Analysis: Theory, Methods & Applications, vol. 35, pp. 37–57, 1999.
B. Lackey, Penalty models for bitstrings of constant Hamming weight, 2017.
B. Lackey, A belief propagation algorithm based on domain decomposition, 2018.