Manuel S. Rudolph

According to our database, Manuel S. Rudolph authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

A unifying account of warm start guarantees for patches of quantum landscapes.

Hela Mhiri, Ricard Puig-i-Valls, Sacha Lerch, Manuel S. Rudolph, Thiparat Chotibut, Supanut Thanasilp, Zoë Holmes

CoRR, February, 2025

2024

Efficient quantum-enhanced classical simulation for patches of quantum landscapes.

Sacha Lerch, Ricard Puig-i-Valls, Manuel S. Rudolph, Armando Angrisani, Tyson Jones, Marco Cerezo, Supanut Thanasilp, Zoë Holmes

CoRR, 2024

Classically estimating observables of noiseless quantum circuits.

Armando Angrisani, Alexander Schmidhuber, Manuel S. Rudolph, Marco Cerezo, Zoë Holmes, Hsin-Yuan Huang

CoRR, 2024

Quantum Convolutional Neural Networks are (Effectively) Classically Simulable.

Pablo Bermejo, Paolo Braccia, Manuel S. Rudolph, Zoë Holmes, Lukasz Cincio, Marco Cerezo

CoRR, 2024

2023

Data re-uploading with a single qudit.

Noah L. Wach, Manuel S. Rudolph, Fred Jendrzejewski, Sebastian Schmitt

Quantum Mach. Intell., December, 2023

Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing.

Marco Cerezo, Martin Larocca, Diego García-Martín, Nelson L. Diaz, Paolo Braccia, Enrico Fontana, Manuel S. Rudolph, Pablo Bermejo, Aroosa Ijaz, Supanut Thanasilp, Eric R. Anschütz, Zoë Holmes

CoRR, 2023

Trainability barriers and opportunities in quantum generative modeling.

Manuel S. Rudolph, Sacha Lerch, Supanut Thanasilp, Oriel Kiss, Sofia Vallecorsa, Michele Grossi, Zoë Holmes

CoRR, 2023

The power and limitations of learning quantum dynamics incoherently.

Sofiène Jerbi, Joe Gibbs, Manuel S. Rudolph, Matthias C. Caro, Patrick J. Coles, Hsin-Yuan Huang, Zoë Holmes

CoRR, 2023