Publications

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Journal Article
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. 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.
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, Roth, I., Eisert, J., and Roushan, P., Precise Hamiltonian identification of a superconducting quantum processor, 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.
P. W. Evans, Hangleiter, D., and Thébault, K. P. Y., How to engineer a quantum wavefunction, 2021.
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.