Publications

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Filters: Author is Dominik Hangleiter  [Clear All Filters]
2023
M. Ringbauer, Hinsche, M., Feldker, T., Faehrmann, P. K., Bermejo-Vega, J., Edmunds, C., Postler, L., Stricker, R., Marciniak, C. D., Meth, M., Pogorelov, I., Blatt, R., Schindler, P., Eisert, J., Monz, T., and Hangleiter, D., Verifiable measurement-based quantum random sampling with trapped ions, 2023.
B. Ware, Deshpande, A., Hangleiter, D., Niroula, P., Fefferman, B., Gorshkov, A. V., and Gullans, M., A sharp phase transition in linear cross-entropy benchmarking, 2023.
J. T. Iosue, Ehrenberg, A., Hangleiter, D., Deshpande, A., and Gorshkov, A. V., Page curves and typical entanglement in linear optics, Quantum, vol. 7, p. 1017, 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.
D. Gross and Hangleiter, D., Secret extraction attacks against obfuscated IQP circuits, 2023.
A. Ehrenberg, Iosue, J. T., Deshpande, A., Hangleiter, D., and Gorshkov, A. V., Transition of Anticoncentration in Gaussian Boson Sampling, 2023.
2022
F. Wilde, Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., and Eisert, J., Scalably learning quantum many-body Hamiltonians from dynamical data, 2022.
M. Hinsche, Ioannou, M., Nietner, A., Haferkamp, J., Quek, Y., Hangleiter, D., Seifert, J. - P., Eisert, J., and Sweke, R., A single T-gate makes distribution learning hard, 2022.
D. Hangleiter and Eisert, J., Computational advantage of quantum random sampling, 2022.
E. - J. Kuo, Xu, Y., Hangleiter, D., Grankin, A., and Hafezi, M., Boson Sampling for Generalized Bosons, 2022.
S. Ghosh, Deshpande, A., Hangleiter, D., Gorshkov, A. V., and Fefferman, B., Sharp complexity phase transitions generated by entanglement, 2022.
A. Deshpande, Mehta, A., Vincent, T., Quesada, N., Hinsche, M., Ioannou, M., Madsen, L., Lavoie, J., Qi, H., Eisert, J., Hangleiter, D., Fefferman, B., and Dhand, I., Quantum computational advantage via high-dimensional Gaussian boson sampling, Science Advances, vol. 8, p. eabi7894, 2022.
D. Hangleiter, Carolan, J., and Thébault, K. P. Y., Analogue Quantum Simulation: A New Instrument for Scientific Understanding. Springer Nature, 2022, pp. 83-102.