Jens Eisert

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. ., Halpern, N. ., Eisert, J. ., & Faist, P. . (2024). Complexity-constrained quantum thermodynamics. ArXiv. http://doi.org/10.48550/arxiv.2403.04828 (Original work published March 2024)

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)

Deshpande, A. ., Mehta, A. ., Vincent, T. ., Quesada, N. ., Hinsche, M. ., Ioannou, M. ., … Dhand, I. . (2022). Quantum computational advantage via high-dimensional Gaussian boson sampling. Science Advances, 8(1). http://doi.org/10.1126/sciadv.abi7894 (Original work published January 2022)