Publications

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Author Title [ Type(Desc)] Year
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Journal Article
E. - J. Kuo, Xu, Y., Hangleiter, D., Grankin, A., and Hafezi, M., Boson Sampling for Generalized Bosons, 2022.
D. Hangleiter and Eisert, J., Computational advantage of quantum random sampling, 2022.
Z. Liu, Devulapalli, D., Hangleiter, D., Liu, Y. - K., Kollár, A. J., Gorshkov, A. V., and Childs, A. M., Efficiently verifiable quantum advantage on near-term analog quantum simulators, 2024.
P. W. Evans, Hangleiter, D., and Thébault, K. P. Y., How to engineer a quantum wavefunction, 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.
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.
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. Hangleiter, Roth, I., Eisert, J., and Roushan, P., Precise Hamiltonian identification of a superconducting quantum processor, 2021.
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.
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 Supremacy via High-Dimensional Gaussian Boson Sampling, 2021.
F. Wilde, Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., and Eisert, J., Scalably learning quantum many-body Hamiltonians from dynamical data, 2022.
A. Ehrenberg, Iosue, J. T., Deshpande, A., Hangleiter, D., and Gorshkov, A. V., The Second Moment of Hafnians in Gaussian Boson Sampling, 2024.
D. Gross and Hangleiter, D., Secret extraction attacks against obfuscated IQP circuits, 2023.
S. Ghosh, Deshpande, A., Hangleiter, D., Gorshkov, A. V., and Fefferman, B., Sharp complexity phase transitions generated by entanglement, 2022.
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.
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.
A. Ehrenberg, Iosue, J. T., Deshpande, A., Hangleiter, D., and Gorshkov, A. V., Transition of Anticoncentration in Gaussian Boson Sampling, 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.