Johannes Jakob Meyer

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Convex Combinations

Machine Learning

Quantum Computing

Top Venues

Publications

Ryan Sweke, Erik Recio, Sofiène Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer
Potential and limitations of random Fourier features for dequantizing quantum machine learning. CoRR (2023)
Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer
Classical surrogates for quantum learning models. CoRR (2022)
Johannes Jakob Meyer, Marian Mularski, Elies Gil-Fuster, Antonio Anna Mele, Francesco Arzani, Alissa Wilms, Jens Eisert
Exploiting symmetry in variational quantum machine learning. CoRR (2022)
Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits. CoRR (2021)
Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke
Encoding-dependent generalization bounds for parametrized quantum circuits. Quantum 5 (2021)
Johannes Jakob Meyer
Fisher Information in Noisy Intermediate-Scale Quantum Applications. Quantum 5 (2021)
Thomas Hubregtsen, David Wierichs, Elies Gil-Fuster, Peter-Jan H. S. Derks, Paul K. Fährmann, Johannes Jakob Meyer
Training Quantum Embedding Kernels on Near-Term Quantum Computers. CoRR (2021)
Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
Stochastic gradient descent for hybrid quantum-classical optimization. Quantum 4 (2020)
Ryan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert
Stochastic gradient descent for hybrid quantum-classical optimization. CoRR (2019)