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Author [ Title(Asc)] Type Year
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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.
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.
A. M. Rey, Gorshkov, A. V., and Rubbo, C., “Many-Body Treatment of the Collisional Frequency Shift in Fermionic Atoms”, Phys. Rev. Lett., vol. 103, p. 260402, 2009.
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.
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.
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.
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.
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.
T. J. Sewell and White, C. David, “Mana and thermalization: Probing the feasibility of near-Clifford Hamiltonian simulation”, Physical Review B, vol. 106, 2022.
N. Bao, Cao, C. J., and Su, V. Paul, “Magic State Distillation from Entangled States”, 2021.
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.
T. Zolkin, Kharkov, Y., and Nagaitsev, S., “Machine-assisted discovery of integrable symplectic mappings”, 2022.
A. Seif, Hafezi, M., and Jarzynski, C., “Machine learning the thermodynamic arrow of time”, Nat. Phys., pp. 1-9, 2020.
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.
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, 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.
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Z. Ji, Chen, J., Wei, Z., and Ying, M., “The LU-LC conjecture is false”, 2007.
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.
L. Pedro García-Pintos, Brady, L. T., Bringewatt, J., and Liu, Y. - K., “Lower Bounds on Quantum Annealing Times”, Phys. Rev. Lett., vol. 130, no. 140601, 2023.
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.
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.
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.
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.
K. Klocke, White, C. David, and Buchhold, M., “Localization crossover and subdiffusive transport in a classical facilitated network model of a disordered, interacting quantum spin chain”, 2021.
F. Liu, Yang, Z. - C., Bienias, P., Iadecola, T., and Gorshkov, A. V., “Localization and criticality in antiblockaded 2D Rydberg atom arrays”, 2020.