Marco Roth

17 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Quantum Deep Learning: A Comprehensive Review.
CoRR
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
2025 — conf
AutoQML: A Framework for Automated Quantum Machine Learning.
QSW
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
2025 J jnl
AutoQML: A Framework for Automated Quantum Machine Learning.
CoRR
Marco Roth, David A. Kreplin, Daniel Basilewitsch, João F. Bravo, Dennis Klau, Milan Marinov, Daniel Pranjic, Horst Stühler, Moritz Willmann, Marc-André Zöller
2025 J jnl
On the similarity of bandwidth-tuned quantum kernels and classical kernels.
CoRR
Roberto Flórez Ablan, Marco Roth, Jan Schnabel
2025 J jnl
Quantum kernel methods under scrutiny: a benchmarking study.
Quantum Mach. Intell.
Jan Schnabel, Marco Roth
2025 J jnl
Reinforcement learning-based architecture search for quantum machine learning.
Mach. Learn. Sci. Technol.
Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth
2025 J jnl
sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering].
IEEE Softw.
David A. Kreplin, Moritz Willmann, Jan Schnabel, Frederic Rapp, Manuel Hagelüken, Marco Roth
2024 J jnl
Data Efficient Prediction of excited-state properties using Quantum Neural Networks.
CoRR
Manuel Hagelüken, Marco F. Huber, Marco Roth
2024 J jnl
Quantum Gaussian process regression for Bayesian optimization.
Quantum Mach. Intell.
Frederic Rapp, Marco Roth
2024 J jnl
Quantum Kernel Methods under Scrutiny: A Benchmarking Study.
CoRR
Jan Schnabel, Marco Roth
2024 J jnl
Reduction of finite sampling noise in quantum neural networks.
Quantum
David A. Kreplin, Marco Roth
2024 J jnl
Reinforcement learning-based architecture search for quantum machine learning.
CoRR
Frederic Rapp, David A. Kreplin, Marco F. Huber, Marco Roth
2023 J jnl
Quantum Gaussian Process Regression for Bayesian Optimization.
CoRR
Frederic Rapp, Marco Roth
2023 J jnl
Reduction of finite sampling noise in quantum neural networks.
CoRR
David Kreplin, Marco Roth
2023 J jnl
sQUlearn - A Python Library for Quantum Machine Learning.
CoRR
David A. Kreplin, Moritz Willmann, Jan Schnabel, Frederic Rapp, Marco Roth
2022 J jnl
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules.
CoRR
Paul-Amaury Matt, Rosina Ziegler, Danilo Brajovic, Marco Roth, Marco F. Huber
2019 — —
Analysis of scalable coupling schemes for superconducting quantum computers.
Marco Roth