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Marco Roth
Marco Roth
Preverjeni e-poštni naslov na ipa.fraunhofer.de
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Leto
Gate-efficient simulation of molecular eigenstates on a quantum computer
M Ganzhorn, DJ Egger, P Barkoutsos, P Ollitrault, G Salis, N Moll, M Roth, ...
Physical Review Applied 11 (4), 044092, 2019
1742019
Analysis of a parametrically driven exchange-type gate and a two-photon excitation gate between superconducting qubits
M Roth, M Ganzhorn, N Moll, S Filipp, G Salis, S Schmidt
Physical Review A 96 (6), 062323, 2017
1012017
Optimal gauge for the multimode Rabi model in circuit QED
M Roth, F Hassler, DP DiVincenzo
Physical review research 1 (3), 033128, 2019
232019
Quantum Gaussian process regression for Bayesian optimization
F Rapp, M Roth
Quantum Machine Intelligence 6 (1), 5, 2024
192024
Adiabatic quantum simulations with driven superconducting qubits
M Roth, N Moll, G Salis, M Ganzhorn, DJ Egger, S Filipp, S Schmidt
Physical Review A 99 (2), 022323, 2019
142019
Reduction of finite sampling noise in quantum neural networks
DA Kreplin, M Roth
Quantum 8, 1385, 2024
112024
sQUlearn: A Python Library for Quantum Machine Learning
DA Kreplin, M Willmann, J Schnabel, F Rapp, M Roth
arXiv preprint arXiv:2311.08990, 2023
42023
A nested genetic algorithm for explaining classification data sets with decision rules
PA Matt, R Ziegler, D Brajovic, M Roth, MF Huber
arXiv preprint arXiv:2209.07575, 2022
42022
Quantum Kernel Methods under Scrutiny: A Benchmarking Study
J Schnabel, M Roth
arXiv preprint arXiv:2409.04406, 2024
22024
AutoQML-a Framework for Automated Quantum Machine Learning
D Klau, H Krause, D Kreplin, M Roth, CK Tutschku, MA Zöller
22023
Time-resolved tomography of a driven adiabatic quantum simulation
G Salis, N Moll, M Roth, M Ganzhorn, S Filipp
Physical Review A 102 (6), 062611, 2020
22020
Analysis of scalable coupling schemes for superconducting quantum computers
M Roth
Rheinisch-Westfälische Technische Hochschule Aachen, 2019
22019
Data Efficient Prediction of excited-state properties using Quantum Neural Networks
M Hagelüken, MF Huber, M Roth
arXiv preprint arXiv:2412.09423, 2024
2024
Application of quantum annealing for scalable robotic assembly line optimization: a case study
M Willmann, M Albus, J Schnabel, M Roth
arXiv preprint arXiv:2412.09239, 2024
2024
Reinforcement learning-based architecture search for quantum machine learning
F Rapp, DA Kreplin, MF Huber, M Roth
Machine Learning: Science and Technology, 2024
2024
Automatic Generation of Quantum Neural Networks with Reinforcement Learning
F Rapp, M Roth
APS March Meeting Abstracts 2024, W51. 005, 2024
2024
A heuristic for solving the irregular strip packing problem with quantum optimization
PA Matt, M Roth
arXiv preprint arXiv:2402.17542, 2024
2024
Quantencomputing in der industriellen Applikation
CK Tutschku, A Sturm, F Knäble, BC Mummaneni, D Pranjic, C Stephan, ...
2023
Adiabatic Quantum Chemistry Simulations with Superconducting Qubits
N Moll, G Salis, M Ganzhorn, D Egger, S Filipp, M Roth, S Schmidt
APS March Meeting Abstracts 2019, K42. 009, 2019
2019
Gate-efficient simulation of molecular eigenstates on a superconducting qubit quantum computer
M Ganzhorn, D Egger, P Ollitrault, P Barkoutsos, G Salis, N Moll, A Fuhrer, ...
APS March Meeting Abstracts 2019, F42. 001, 2019
2019
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