Daniel D. Scherer

34 papers A* 3B 1Misc 10Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Benchmarking Quantum Reinforcement Learning.
ICML
Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025 J jnl
Benchmarking Quantum Reinforcement Learning.
CoRR
Nico Meyer, Christian Ufrecht, George Yammine, Georgios D. Kontes, Christopher Mutschler, Daniel D. Scherer
2025 J jnl
CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting.
CoRR
Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Wolfgang Mauerer
2025 A* conf
Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits.
DAC
Laura S. Herzog, Lukas Burgholzer, Christian Ufrecht, Daniel D. Scherer, Robert Wille
2025 J jnl
Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction.
CoRR
Nico Meyer, Christopher Mutschler, Andreas K. Maier, Daniel D. Scherer
2025 J jnl
Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks.
CoRR
Alexander Mattick, Maniraman Periyasamy, Christian Ufrecht, Abhishek Y. Dubey, Christopher Mutschler, Axel Plinge, Daniel D. Scherer
2024 B conf
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading.
IJCNN
Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2024 Misc conf
Comprehensive Library of Variational LSE Solvers.
QCE
Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024 J jnl
Comprehensive Library of Variational LSE Solvers.
CoRR
Nico Meyer, Martin Röhn, Jakob Murauer, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024 J jnl
Fourier Analysis of Variational Quantum Circuits for Supervised Learning.
CoRR
Marco Wiedmann, Maniraman Periyasamy, Daniel D. Scherer
2024 Misc conf
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule.
QCE
Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
2024 J jnl
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule.
CoRR
Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
2024 Misc conf
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks.
QCE
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas Maier
2024 J jnl
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks.
CoRR
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Andreas K. Maier
2024 J jnl
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization.
CoRR
Nico Meyer, Julian Berberich, Christopher Mutschler, Daniel D. Scherer
2024 Misc conf
SCIM MILQ: An HPC Quantum Scheduler.
QCE
Philipp Seitz, Manuel Geiger, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Christian B. Mendl
2024 Misc conf
Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning.
QCE
Sebastian Rietsch, Abhishek Y. Dubey, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024 Misc conf
Warm-Start Variational Quantum Policy Iteration.
QCE
Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2024 J jnl
Warm-Start Variational Quantum Policy Iteration.
CoRR
Nico Meyer, Jakob Murauer, Alexander Popov, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer
2023 Misc conf
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients.
QCE
Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023 J jnl
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients.
CoRR
Marco Wiedmann, Marc Hölle, Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023 J jnl
Batch Quantum Reinforcement Learning.
CoRR
Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023 J jnl
Cutting multi-control quantum gates with ZX calculus.
Quantum
Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2023 Misc conf
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning.
QCE
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2023 J jnl
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning.
CoRR
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2023 A* conf
Quantum Policy Gradient Algorithm with Optimized Action Decoding.
ICML
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2023 J jnl
Uncovering instabilities in variational-quantum deep Q-networks.
J. Frankl. Inst.
Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer
2023 Misc conf
Workshop Summary: Quantum Machine Learning.
QCE
Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
2022 J jnl
A Survey on Quantum Reinforcement Learning.
CoRR
Nico Meyer, Christian Ufrecht, Maniraman Periyasamy, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2022 Misc conf
Incremental Data-Uploading for Full-Quantum Classification.
QCE
Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2022 J jnl
Incremental Data-Uploading for Full-Quantum Classification.
CoRR
Maniraman Periyasamy, Nico Meyer, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler
2022 J jnl
Quantum Policy Gradient Algorithm with Optimized Action Decoding.
CoRR
Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann
2022 J jnl
Uncovering Instabilities in Variational-Quantum Deep Q-Networks.
CoRR
Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer
2020 — conf
High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles.
ITSC
Georgios D. Kontes, Daniel D. Scherer, Tim Nisslbeck, Janina Fischer, Christopher Mutschler