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Nico Meyer
Nico Meyer
Fraunhofer Institute for Integrated Circuits IIS
Verified email at iis.fraunhofer.de - Homepage
Title
Cited by
Cited by
Year
A survey on quantum reinforcement learning
N Meyer, C Ufrecht, M Periyasamy, DD Scherer, A Plinge, C Mutschler
arXiv preprint arXiv:2211.03464, 2022
692022
Quantum policy gradient algorithm with optimized action decoding
N Meyer, D Scherer, A Plinge, C Mutschler, M Hartmann
International Conference on Machine Learning, 24592-24613, 2023
292023
An empirical comparison of optimizers for quantum machine learning with spsa-based gradients
M Wiedmann, M Hölle, M Periyasamy, N Meyer, C Ufrecht, DD Scherer, ...
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
242023
Incremental data-uploading for full-quantum classification
M Periyasamy, N Meyer, C Ufrecht, DD Scherer, A Plinge, C Mutschler
2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022
182022
Quantum natural policy gradients: Towards sample-efficient reinforcement learning
N Meyer, DD Scherer, A Plinge, C Mutschler, MJ Hartmann
2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023
162023
Qiskit-torch-module: Fast prototyping of quantum neural networks
N Meyer, C Ufrecht, M Periyasamy, A Plinge, C Mutschler, DD Scherer, ...
2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024
42024
Comprehensive Library of Variational LSE Solvers
N Meyer, M Röhn, J Murauer, A Plinge, C Mutschler, DD Scherer
2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024
32024
Benchmarking Quantum Reinforcement Learning
N Meyer, C Ufrecht, G Yammine, G Kontes, C Mutschler, DD Scherer
arXiv preprint arXiv:2501.15893, 2025
22025
Warm-start variational quantum policy iteration
N Meyer, J Murauer, A Popov, C Ufrecht, A Plinge, C Mutschler, ...
2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024
22024
BenchQC--Scalable and modular benchmarking of industrial quantum computing applications
F Geissler, E Stopfer, C Ufrecht, N Meyer, DD Scherer, F Wagner, ...
arXiv preprint arXiv:2504.11204, 2025
2025
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization
N Meyer, J Berberich, C Mutschler, DD Scherer
arXiv preprint arXiv:2410.21117, 2024
2024
Reinforcement Learning@ FAU2021
C Mutschler, S Rietsch, N Meyer
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