Marco Roth

According to our database, Marco Roth authored at least 13 papers between 2019 and 2026.

Collaborative distances:

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

2026

Quantum Deep Learning: A Comprehensive Review.

Yanjun Ji, Zhao-Yun Chen, Marco Roth, David A. Kreplin, Christian Schiffer, Martin King, Oliver Anton, M. Sahnawaz Alam, Markus Krutzik, Dennis Willsch, Ludwig Mathey, Frank K. Wilhelm, Guo-Ping Guo

CoRR, March, 2026

2025

Quantum kernel methods under scrutiny: a benchmarking study.

Jan Schnabel, Marco Roth

Quantum Mach. Intell., June, 2025

On the similarity of bandwidth-tuned quantum kernels and classical kernels.

Roberto Flórez Ablan, Marco Roth, Jan Schnabel

CoRR, March, 2025

AutoQML: A Framework for Automated Quantum Machine Learning.

Marco Roth, David A. Kreplin, Daniel Basilewitsch, João F. Bravo, Dennis Klau, Milan Marinov, Daniel Pranjic, Horst Stühler, Moritz Willmann, Marc-André Zöller

CoRR, February, 2025

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering].

David A. Kreplin, Moritz Willmann, Jan Schnabel, Frederic Rapp, Manuel Hagelüken, Marco Roth

IEEE Softw., 2025

Reinforcement learning-based architecture search for quantum machine learning.

Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth

Mach. Learn. Sci. Technol., 2025

AutoQML: A Framework for Automated Quantum Machine Learning.

Marco Roth, David A. Kreplin, Daniel Basilewitsch, João F. Bravo, Dennis Klau, Milan Marinov, Daniel Pranjic, Peter Schichtel, Horst Stühler, Moritz Willmann, Marc-André Zöller

Proceedings of the IEEE International Conference on Quantum Software, 2025

2024

Quantum Gaussian process regression for Bayesian optimization.

Frederic Rapp, Marco Roth

Quantum Mach. Intell., June, 2024

Reduction of finite sampling noise in quantum neural networks.

David A. Kreplin, Marco Roth

Quantum, 2024

Data Efficient Prediction of excited-state properties using Quantum Neural Networks.

Manuel Hagelüken, Marco F. Huber, Marco Roth

CoRR, 2024

2023

sQUlearn - A Python Library for Quantum Machine Learning.

David A. Kreplin, Moritz Willmann, Jan Schnabel, Frederic Rapp, Marco Roth

CoRR, 2023

2022

A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules.

Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic, Marco Roth, Marco F. Huber

CoRR, 2022

2019

Analysis of scalable coupling schemes for superconducting quantum computers.

Marco Roth

PhD thesis, 2019