Johannes Jakob Meyer

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The computational two-way quantum capacity. CoRR Johannes Jakob Meyer, Jacopo Rizzo, Asad Raza, Lorenzo Leone, Sofiène Jerbi, Jens Eisert
2025	J	`jnl`	Computational Relative Entropy. CoRR Johannes Jakob Meyer, Asad Raza, Jacopo Rizzo, Lorenzo Leone, Sofiène Jerbi, Jens Eisert
2025	J	`jnl`	How hard is it to verify a classical shadow? CoRR Georgios Karaiskos, Dorian Rudolph, Johannes Jakob Meyer, Jens Eisert, Sevag Gharibian
2025	J	`jnl`	Potential and limitations of random Fourier features for dequantizing quantum machine learning. Quantum Ryan Sweke, Erik Recio-Armengol, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
2025	J	`jnl`	Query complexities of quantum channel discrimination and estimation: A unified approach. CoRR Zixin Huang, Johannes Jakob Meyer, Theshani Nuradha, Mark M. Wilde
2023	J	`jnl`	Potential and limitations of random Fourier features for dequantizing quantum machine learning. CoRR Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
2022	J	`jnl`	Classical surrogates for quantum learning models. CoRR Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer
2022	J	`jnl`	Exploiting symmetry in variational quantum machine learning. CoRR Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, Jens Eisert
2021	J	`jnl`	Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
2021	J	`jnl`	Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
2021	J	`jnl`	Fisher Information in Noisy Intermediate-Scale Quantum Applications. Quantum Johannes Jakob Meyer
2021	J	`jnl`	Training Quantum Embedding Kernels on Near-Term Quantum Computers. CoRR Thomas Hubregtsen, David Wierichs, Elies Gil-Fuster, Peter-Jan H. S. Derks, Paul K. Fährmann, Johannes Jakob Meyer
2020	J	`jnl`	Stochastic gradient descent for hybrid quantum-classical optimization. Quantum Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
2019	J	`jnl`	Stochastic gradient descent for hybrid quantum-classical optimization. CoRR Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert