Johannes Jakob Meyer

According to our database, Johannes Jakob Meyer authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

The computational two-way quantum capacity.

Johannes Jakob Meyer, Jacopo Rizzo, Asad Raza, Lorenzo Leone, Sofiène Jerbi, Jens Eisert

CoRR, January, 2026

2025

Query complexities of quantum channel discrimination and estimation: A unified approach.

Zixin Huang, Johannes Jakob Meyer, Theshani Nuradha, Mark M. Wilde

CoRR, November, 2025

How hard is it to verify a classical shadow?

Georgios Karaiskos, Dorian Rudolph, Johannes Jakob Meyer, Jens Eisert, Sevag Gharibian

CoRR, October, 2025

Computational Relative Entropy.

Johannes Jakob Meyer, Asad Raza, Jacopo Rizzo, Lorenzo Leone, Sofiène Jerbi, Jens Eisert

CoRR, September, 2025

Potential and limitations of random Fourier features for dequantizing quantum machine learning.

Ryan Sweke, Erik Recio-Armengol, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer

Quantum, 2025

2023

Potential and limitations of random Fourier features for dequantizing quantum machine learning.

Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer

CoRR, 2023

2022

Classical surrogates for quantum learning models.

Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer

CoRR, 2022

Exploiting symmetry in variational quantum machine learning.

Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, Jens Eisert

CoRR, 2022

2021

Fisher Information in Noisy Intermediate-Scale Quantum Applications.

Johannes Jakob Meyer

Quantum, 2021

Encoding-dependent generalization bounds for parametrized quantum circuits.

Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke

Quantum, 2021

Training Quantum Embedding Kernels on Near-Term Quantum Computers.

Thomas Hubregtsen, David Wierichs, Elies Gil-Fuster, Peter-Jan H. S. Derks, Paul K. Fährmann, Johannes Jakob Meyer

CoRR, 2021

2020

Stochastic gradient descent for hybrid quantum-classical optimization.

Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert

Quantum, 2020