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.
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. 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.
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.