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L
R. Abbott, Detmold, W., Romero-López, F., Davoudi, Z., Illa, M., Parreño, A., Perry, R. J., Shanahan, P. E., and Wagman, M. L., “Lattice quantum chromodynamics at large isospin density: 6144 pions in a box”, 2023.
M. Hinsche, Ioannou, M., Nietner, A., Haferkamp, J., Quek, Y., Hangleiter, D., Seifert, J. - P., Eisert, J., and Sweke, R., “Learnability of the output distributions of local quantum circuits”, 2021.
M. Hinsche, Ioannou, M., Nietner, A., Haferkamp, J., Quek, Y., Hangleiter, D., Seifert, J. - P., Eisert, J., and Sweke, R., “Learnability of the output distributions of local quantum circuits”, 2021.
A. M. Childs and Strouse, D. J., “Levinson's theorem for graphs”, Journal of Mathematical Physics, vol. 52, no. 8, p. 082102, 2011.
O. Shtanko, Deshpande, A., Julienne, P. S., and Gorshkov, A. V., “Limits on Classical Simulation of Free Fermions with Dissipation”, 2020.
M. C. Tran, Guo, A. Y., Su, Y., Garrison, J. R., Eldredge, Z., Foss-Feig, M., Childs, A. M., and Gorshkov, A. V., “Locality and digital quantum simulation of power-law interactions”, Phys. Rev. X 9, 031006, vol. 9, no. 031006, 2019.
S. Xu and Swingle, B., “Locality, Quantum Fluctuations, and Scrambling”, Phys. Rev. X , vol. 9, no. 031048, 2019.
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.
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.
S. S. Kalantre, Zwolak, J. P., Ragole, S., Wu, X., Zimmerman, N. M., Stewart, M. D., and Taylor, J. M., “Machine Learning techniques for state recognition and auto-tuning in quantum dots”, 2017.
A. Seif, Hafezi, M., and Jarzynski, C., “Machine learning the thermodynamic arrow of time”, Nat. Phys., pp. 1-9, 2020.
S. Guo, Fritsch, A. R., Greenberg, C., Spielman, I. B., and Zwolak, J. P., “Machine-learning enhanced dark soliton detection in Bose-Einstein condensates”, Mach. Learn.: Sci. Technol. , vol. 2, p. 035020, 2021.
N. Bao, Cao, C. J., and Su, V. Paul, “Magic State Distillation from Entangled States”, 2021.
T. J. Sewell and White, C. David, “Mana and thermalization: Probing the feasibility of near-Clifford Hamiltonian simulation”, Physical Review B, vol. 106, 2022.
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.
A. Sundaram and Lackey, B., “Mathematical methods for resource-based type theories”, 2018.
E. Chitambar, Miller, C., and Shi, Y., “Matrix pencils and entanglement classification”, Journal of Mathematical Physics, vol. 51, no. 7, p. 072205, 2010.
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.
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.
H. Fu, Miller, C., and Slofstra, W., “The membership problem for constant-sized quantum correlations is undecidable”, 2021.
P. Bienias, Seif, A., and Hafezi, M., “Meta Hamiltonian Learning”, 2021.