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Nico Meyer
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2020 – today
- 2024
- [i9]Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas K. Maier:
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks. CoRR abs/2404.06314 (2024) - [i8]Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer:
Comprehensive Library of Variational LSE Solvers. CoRR abs/2404.09916 (2024) - [i7]Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer:
Warm-Start Variational Quantum Policy Iteration. CoRR abs/2404.10546 (2024) - [i6]Nico Meyer, Julian Berberich, Christopher Mutschler, Daniel D. Scherer:
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization. CoRR abs/2410.21117 (2024) - 2023
- [c4]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Policy Gradient Algorithm with Optimized Action Decoding. ICML 2023: 24592-24613 - [c3]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. QCE 2023: 36-41 - [c2]Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients. QCE 2023: 450-456 - [i5]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. CoRR abs/2304.13571 (2023) - [i4]Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients. CoRR abs/2305.00224 (2023) - 2022
- [c1]Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
Incremental Data-Uploading for Full-Quantum Classification. QCE 2022: 31-37 - [i3]Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
Incremental Data-Uploading for Full-Quantum Classification. CoRR abs/2205.03057 (2022) - [i2]Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler:
A Survey on Quantum Reinforcement Learning. CoRR abs/2211.03464 (2022) - [i1]Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann:
Quantum Policy Gradient Algorithm with Optimized Action Decoding. CoRR abs/2212.06663 (2022)
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