| 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 | 154 | 2019 |
| 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 | 86 | 2017 |
| Optimal gauge for the multimode Rabi model in circuit QED M Roth, F Hassler, DP DiVincenzo Physical review research 1 (3), 033128, 2019 | 20 | 2019 |
| 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 | 13 | 2019 |
| Quantum gaussian process regression for bayesian optimization F Rapp, M Roth Quantum Machine Intelligence 6 (1), 5, 2024 | 6 | 2024 |
| Reduction of finite sampling noise in quantum neural networks D Kreplin, M Roth arXiv preprint arXiv:2306.01639, 2023 | 4 | 2023 |
| 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 | 3 | 2022 |
| 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 | 2 | 2020 |
| Analysis of scalable coupling schemes for superconducting quantum computers M Roth Rheinisch-Westfälische Technische Hochschule Aachen, 2019 | 2 | 2019 |
| Automatic Generation of Quantum Neural Networks with Reinforcement Learning F Rapp, M Roth Bulletin of the American Physical Society, 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 |
| sQUlearn $\unicode {x2013} $ A Python Library for Quantum Machine Learning DA Kreplin, M Willmann, J Schnabel, F Rapp, M Roth arXiv preprint arXiv:2311.08990, 2023 | | 2023 |
| AutoQML-a Framework for Automated Quantum Machine Learning D Klau, H Krause, D Kreplin, M Roth, CK Tutschku, MA Zöller | | 2023 |
| Quantencomputing in der industriellen Applikation CK Tutschku, A Sturm, F Knäble, BC Mummaneni, D Pranjic, C Stephan, ... | | 2023 |
| Killing the PLM Monolith–the Emergence of cloud-native System Lifecycle Management (SysLM) MSO Bleisinger, MST Psota, DIJ Masior, MSA Roth, LLC Koneksys, ... | | 2022 |
| 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 |
| Gauge dependence of the two-level approximation in circuit QED M Roth, D DiVincenzo, F Hassler Verhandlungen der Deutschen Physikalischen Gesellschaft, 2019 | | 2019 |
| Erratum: Analysis of a parametrically driven exchange-type gate and a two-photon excitation gate between superconducting qubits [Phys. Rev. A 96, 062323 (2017)] M Roth, M Ganzhorn, N Moll, S Filipp, G Salis, S Schmidt Physical Review A 97 (4), 049903, 2018 | | 2018 |
| Adiabatic Quantum Chemistry Simulations with Superconducting Qubits N Moll, D Egger, S Filipp, A Fuhrer, M Ganzhorn, P Müller, M Roth, G Salis, ... APS March Meeting Abstracts 2018, E33. 008, 2018 | | 2018 |
