Johannes Jakob Meyer

According to our database, Johannes Jakob Meyer authored at least 8 papers between 2020 and 2025.

Collaborative distances:

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

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