Jens Eisert

Ringbauer, M., Hinsche, M., Feldker, T., Faehrmann, P., Bermejo-Vega, J., Edmunds, C., … Hangleiter, D. (2025). Verifiable measurement-based quantum random sampling with trapped ions. Nature Communications. http://doi.org/10.1038/s41467-024-55342-3 (Original work published January 2025)

Wilde, F., Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., & Eisert, J. (2022). Scalably learning quantum many-body Hamiltonians from dynamical data. ArXiv. Retrieved from https://arxiv.org/abs/2209.14328 (Original work published September 2022)

Hinsche, M., Ioannou, M., Nietner, A., Haferkamp, J., Quek, Y., Hangleiter, D., … Sweke, R. (2021). Learnability of the output distributions of local quantum circuits. ArXiv. Retrieved from https://arxiv.org/abs/2110.05517 (Original work published October 2021)

Hangleiter, D., Roth, I., Fuksa, J., Eisert, J., & Roushan, P. (2024). Robustly learning the Hamiltonian dynamics of a superconducting quantum processor. Nature Communications, 15. http://doi.org/10.1038/s41467-024-52629-3 (Original work published November 2024)

Roth, I., Kueng, R., Kimmel, S., Liu, Y.-K., Gross, D., Eisert, J., & Kliesch, M. (2018). Recovering quantum gates from few average gate fidelities. Phys. Rev. Lett., 121, 170502. http://doi.org/10.1103/PhysRevLett.121.170502 (Original work published March 2018)

Munson, A., Kothakonda, N., Haferkamp, J., Yunger Halpern, N., Eisert, J., & Faist, P. (2025). Complexity-constrained quantum thermodynamics. PRX Quantum, 6(010346). http://doi.org/https://doi.org/10.1103/PRXQuantum.6.010346 (Original work published March 2025)

Faist, P., Woods, M., Albert, V., Renes, J., Eisert, J., & Preskill, J. (2023). Time-Energy Uncertainty Relation for Noisy Quantum Metrology. PRX Quantum, 4. http://doi.org/10.1103/prxquantum.4.040336 (Original work published December 2023)

Haferkamp, J., Faist, P., Kothakonda, N., Eisert, J., & Halpern, N. (2022). Linear growth of quantum circuit complexity. Nature Physics, 18, 528–532. http://doi.org/10.1038/s41567-022-01539-6 (Original work published March 2022)

Yunger Halpern, N., Kothakonda, N., Haferkamp, J., Munson, A., Eisert, J., & Faist, P. (2022). Resource theory of quantum uncomplexity. Physical Review A, 106. http://doi.org/10.1103/physreva.106.062417 (Original work published December 2022)

Hangleiter, D., & Eisert, J. (2023). Computational advantage of quantum random sampling. Reviews of Modern Physics, 95. http://doi.org/10.1103/revmodphys.95.035001 (Original work published July 2023)