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L
J. Haferkamp, Faist, P., Kothakonda, N. B. T., Eisert, J., and Halpern, N. Yunger, “Linear growth of quantum circuit complexity”, Nat. Phys., 2022.
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.
A. M. Childs, Haselgrove, H. L., and Nielsen, M. A., “Lower bounds on the complexity of simulating quantum gates”, Physical Review A, vol. 68, no. 5, 2003.
M
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.
A. Seif, Hafezi, M., and Jarzynski, C., “Machine learning the thermodynamic arrow of time”, Nat. Phys., pp. 1-9, 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.
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.
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.
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.
F. Andreoli, Windt, B., Grava, S., Andolina, G. Marcello, Gullans, M., High, A. A., and Chang, D. E., “The maximum refractive index of an atomic crystal - from quantum optics to quantum chemistry”, 2023.
F. Andreoli, Gullans, M., High, A. A., Browaeys, A., and Chang, D. E., “Maximum Refractive Index of an Atomic Medium”, Physical Review X, vol. 11, no. 1, 2021.
H. Pichler, Zhu, G., Seif, A., Zoller, P., and Hafezi, M., “Measurement Protocol for the Entanglement Spectrum of Cold Atoms”, Phys. Rev. X , vol. 6(4), no. 041033, 2016.
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.
P. Bienias, Seif, A., and Hafezi, M., “Meta Hamiltonian Learning”, 2021.
M. Van Regemortel, Shtanko, O., García-Pintos, L. Pedro, Deshpande, A., Dehghani, H., Gorshkov, A. V., and Hafezi, M., “Monitoring-induced Entanglement Entropy and Sampling Complexity”, 2022.
K. Shi, Herrman, R., Shaydulin, R., Chakrabarti, S., Pistoia, M., and Larson, J., “Multi-Angle QAOA Does Not Always Need All Its Angles”, 2022.
N
N. Lupu-Gladstein, Y. Yilmaz, B., Arvidsson-Shukur, D. R. M., Brodutch, A., Pang, A. O. T., Steinberg, A. M., and Halpern, N. Yunger, “Negative Quasiprobabilities Enhance Phase Estimation in Quantum-Optics Experiment”, Phys. Rev. Lett., vol. 128, p. 220504, 2022.
A. Hu, Mathey, L., Williams, C. J., and Clark, C. W., “Noise correlations of one-dimensional Bose mixtures in optical lattices”, Physical Review A, vol. 81, no. 6, 2010.
C. Murthy, Babakhani, A., Iniguez, F., Srednicki, M., and Halpern, N. Yunger, “Non-Abelian eigenstate thermalization hypothesis”, Phys. Rev. Lett., vol. 130, 2023.
S. Majidy, Lasek, A., Huse, D. A., and Halpern, N. Yunger, “Non-Abelian symmetry can increase entanglement entropy”, Physical Review B, vol. 107, 2023.
S. Majidy, Lasek, A., Huse, D. A., and Halpern, N. Yunger, “Non-Abelian symmetry can increase entanglement entropy”, Physical Review B, vol. 107, 2023.
D. R. M. Arvidsson-Shukur, McConnell, A. G., and Halpern, N. Yunger, “Nonclassical Advantage in Metrology Established via Quantum Simulations of Hypothetical Closed Timelike Curves”, Phys. Rev. Lett., vol. 131, p. 150202, 2023.