Publications

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Author Title [ Type(Desc)] Year
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Journal Article
D. Hangleiter and Eisert, J., Computational advantage of quantum random sampling, 2022.
M. Ohliger, Nesme, V., Gross, D., Liu, Y. - K., and Eisert, J., Continuous-variable quantum compressed sensing, 2011.
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.
J. Haferkamp, Faist, P., Kothakonda, N. B. T., Eisert, J., and Halpern, N. Yunger, Linear growth of quantum circuit complexity, Nat. Phys., 2022.
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.
D. Gross, Liu, Y. - K., Flammia, S. T., Becker, S., and Eisert, J., Quantum state tomography via compressed sensing, Physical Review Letters, vol. 105, no. 15, 2010.
S. T. Flammia, Gross, D., Liu, Y. - K., and Eisert, J., Quantum Tomography via Compressed Sensing: Error Bounds, Sample Complexity, and Efficient Estimators , New Journal of Physics, vol. 14, no. 9, p. 095022, 2012.
I. Roth, Kueng, R., Kimmel, S., Liu, Y. - K., Gross, D., Eisert, J., and Kliesch, M., Recovering quantum gates from few average gate fidelities, Phys. Rev. Lett. , vol. 121, p. 170502, 2018.
N. Yunger Halpern, Kothakonda, N. B. T., Haferkamp, J., Munson, A., Eisert, J., and Faist, P., Resource theory of quantum uncomplexity, 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.