Nico Meyer

According to our database, Nico Meyer authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction.

Nico Meyer, Christopher Mutschler, Andreas K. Maier, Daniel D. Scherer

CoRR, June, 2025

Benchmarking Quantum Reinforcement Learning.

Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer

CoRR, January, 2025

2024

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization.

Nico Meyer, Julian Berberich, Christopher Mutschler, Daniel D. Scherer

CoRR, 2024

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks.

Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas Maier

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Comprehensive Library of Variational LSE Solvers.

Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

Warm-Start Variational Quantum Policy Iteration.

Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

2023

An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients.

Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning.

Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Policy Gradient Algorithm with Optimized Action Decoding.

Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann

Proceedings of the International Conference on Machine Learning, 2023

2022

A Survey on Quantum Reinforcement Learning.

Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler

CoRR, 2022

Incremental Data-Uploading for Full-Quantum Classification.

Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022