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Y. Alnawakhtha, Mantri, A., Miller, C., and Wang, D., Lattice-Based Quantum Advantage from Rotated Measurements, 2022.
Y. Alnawakhtha, Mantri, A., Miller, C., and Wang, D., Lattice-Based Quantum Advantage from Rotated Measurements, 2022.
T. C. Mooney, Bringewatt, J., and Brady, L. T., Lefschetz Thimble Quantum Monte Carlo for Spin Systems, 2021.
K. C. Cox, Bienias, P., Meyer, D. H., Fahey, D. P., Kunz, P. D., and Gorshkov, A. V., Linear and continuous variable spin-wave processing using a cavity-coupled atomic ensemble, 2021.
H. Fu and Miller, C., Local randomness: Examples and application, Phys. Rev. A, no. 97, p. 032324, 2018.
D. Bluvstein, Evered, S. J., Geim, A. A., Li, S. H., Zhou, H., Manovitz, T., Ebadi, S., Cain, M., Kalinowski, M., Hangleiter, D., J. Ataides, P. Bonilla, Maskara, N., Cong, I., Gao, X., Rodriguez, P. Sales, Karolyshyn, T., Semeghini, G., Gullans, M., Greiner, M., Vuletic, V., and Lukin, M. D., Logical quantum processor based on reconfigurable atom arrays, Nature, 2023.
D. Bluvstein, Evered, S. J., Geim, A. A., Li, S. H., Zhou, H., Manovitz, T., Ebadi, S., Cain, M., Kalinowski, M., Hangleiter, D., J. Ataides, P. Bonilla, Maskara, N., Cong, I., Gao, X., Rodriguez, P. Sales, Karolyshyn, T., Semeghini, G., Gullans, M., Greiner, M., Vuletic, V., and Lukin, M. D., Logical quantum processor based on reconfigurable atom arrays, Nature, 2023.
Z. Davoudi, Detmold, W., Fu, Z., Grebe, A. V., Jay, W., Murphy, D., Oare, P., Shanahan, P. E., and Wagman, M. L., Long-Distance Nuclear Matrix Elements for Neutrinoless Double-Beta Decay from Lattice QCD, 2024.
A. Chotia, Neyenhuis, B., Moses, S. A., Yan, B., Covey, J. P., Foss-Feig, M., Rey, A. Maria, Jin, D. S., and Ye, J., Long-lived dipolar molecules and Feshbach molecules in a 3D optical lattice , Physical Review Letters, vol. 108, no. 8, 2012.
J. M. Taylor, Marcus, C. M., and Lukin, M. D., Long-lived memory for mesoscopic quantum bits, Physical Review Letters, vol. 90, no. 20, 2003.
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A. Seif, Landsman, K. A., Linke, N. M., Figgatt, C., Monroe, C., and Hafezi, M., Machine learning assisted readout of trapped-ion qubits, J. Phys. B: At. Mol. Opt. Phys., vol. 51, 2018.
W. Zhong, Gold, J. M., Marzen, S., England, J. L., and Halpern, N. Yunger, Machine learning outperforms thermodynamics in measuring how well a many-body system learns a drive, Scientific Reports, vol. 11, 2021.
C. R. Murray, Gorshkov, A. V., and Pohl, T., Many-body decoherence dynamics and optimised operation of a single-photon switch, New Journal of Physics, vol. 18, p. 092001, 2016.
H. B. Kaplan, Guo, L., Tan, W. Lin, De, A., Marquardt, F., Pagano, G., and Monroe, C., Many-Body Dephasing in a Trapped-Ion Quantum Simulator, Phys. Rev. Lett., vol. 125, no. 120605, 2020.
H. B. Kaplan, Guo, L., Tan, W. Lin, De, A., Marquardt, F., Pagano, G., and Monroe, C., Many-Body Dephasing in a Trapped-Ion Quantum Simulator, Phys. Rev. Lett., vol. 125, no. 120605, 2020.
K. R. A. Hazzard, Gadway, B., Foss-Feig, M., Yan, B., Moses, S. A., Covey, J. P., Yao, N. Y., Lukin, M. D., Ye, J., Jin, D. S., and Rey, A. Maria, Many-body dynamics of dipolar molecules in an optical lattice, Physical Review Letters, vol. 113, no. 19, 2014.
J. Smith, Lee, A., Richerme, P., Neyenhuis, B., Hess, P. W., Hauke, P., Heyl, M., Huse, D. A., and Monroe, C., Many-body localization in a quantum simulator with programmable random disorder, Nature Physics, 2016.
T. Schuster, Kobrin, B., Gao, P., Cong, I., Khabiboulline, E. T., Linke, N. M., Lukin, M. D., Monroe, C., Yoshida, B., and Yao, N. Y., Many-Body Quantum Teleportation via Operator Spreading in the Traversable Wormhole Protocol, Physical Review X, vol. 12, 2022.
Z. Bian, Chudak, F., Israel, R., Lackey, B., Macready, W. G., and Roy, A., Mapping constrained optimization problems to quantum annealing with application to fault diagnosis, 2016.
Z. Bian, Chudak, F., Israel, R. Brian, Lackey, B., Macready, W. G., and Roy, A., Mapping contrained optimization problems to quantum annealing with application to fault diagnosis, Frontiers in ICT, vol. 3, p. 14, 2016.
C. Miller, The Mathematics of Quantum Coin-Flipping, Notices of the American Mathematical Society, vol. 69, no. 11, pp. 1908-1917, 2022.
E. Chitambar, Miller, C., and Shi, Y., Matrix pencils and entanglement classification, Journal of Mathematical Physics, vol. 51, no. 7, p. 072205, 2010.
D. Carney, Krnjaic, G., Moore, D. C., Regal, C. A., Afek, G., Bhave, S., Brubaker, B., Corbitt, T., Cripe, J., Crisosto, N., .Geraci, A., Ghosh, S., Harris, J. G. E., Hook, A., Kolb, E. W., Kunjummen, J., Lang, R. F., Li, T., Lin, T., Liu, Z., Lykken, J., Magrini, L., Manley, J., Matsumoto, N., Monte, A., Monteiro, F., Purdy, T., Riedel, C. J., Singh, R., Singh, S., Sinha, K., Taylor, J. M., Qin, J., Wilson, D. J., and Zhao, Y., Mechanical Quantum Sensing in the Search for Dark Matter, 2020.
D. Carney, Krnjaic, G., Moore, D. C., Regal, C. A., Afek, G., Bhave, S., Brubaker, B., Corbitt, T., Cripe, J., Crisosto, N., .Geraci, A., Ghosh, S., Harris, J. G. E., Hook, A., Kolb, E. W., Kunjummen, J., Lang, R. F., Li, T., Lin, T., Liu, Z., Lykken, J., Magrini, L., Manley, J., Matsumoto, N., Monte, A., Monteiro, F., Purdy, T., Riedel, C. J., Singh, R., Singh, S., Sinha, K., Taylor, J. M., Qin, J., Wilson, D. J., and Zhao, Y., Mechanical Quantum Sensing in the Search for Dark Matter, 2020.
D. Carney, Krnjaic, G., Moore, D. C., Regal, C. A., Afek, G., Bhave, S., Brubaker, B., Corbitt, T., Cripe, J., Crisosto, N., .Geraci, A., Ghosh, S., Harris, J. G. E., Hook, A., Kolb, E. W., Kunjummen, J., Lang, R. F., Li, T., Lin, T., Liu, Z., Lykken, J., Magrini, L., Manley, J., Matsumoto, N., Monte, A., Monteiro, F., Purdy, T., Riedel, C. J., Singh, R., Singh, S., Sinha, K., Taylor, J. M., Qin, J., Wilson, D. J., and Zhao, Y., Mechanical Quantum Sensing in the Search for Dark Matter, 2020.