Daniel D. Scherer

Andreas K. Maier

CoRR, June, 2025

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, April, 2025

Benchmarking Quantum Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, January, 2025

2024

Fourier Analysis of Variational Quantum Circuits for Supervised Learning.

[BibT_eX]

[DOI]

Marco Wiedmann

Maniraman Periyasamy

CoRR, 2024

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization.

[BibT_eX]

[DOI]

Julian Berberich

CoRR, 2024

SCIM MILQ: An HPC Quantum Scheduler.

[BibT_eX]

[DOI]

Christian B. Mendl

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

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning.

[BibT_eX]

[DOI]

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

Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule.

[BibT_eX]

[DOI]

Maniraman Periyasamy

Wolfgang Mauerer

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

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

[BibT_eX]

[DOI]

Andreas Maier

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

Comprehensive Library of Variational LSE Solvers.

[BibT_eX]

[DOI]

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

Warm-Start Variational Quantum Policy Iteration.

[BibT_eX]

[DOI]

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

BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Uncovering instabilities in variational-quantum deep Q-networks.

[BibT_eX]

[DOI]

Wolfgang Mauerer

J. Frankl. Inst., November, 2023

Cutting multi-control quantum gates with ZX calculus.

[BibT_eX]

[DOI]

Quantum, October, 2023

Batch Quantum Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

Workshop Summary: Quantum Machine Learning.

[BibT_eX]

[DOI]

Wolfgang Mauerer

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

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

[BibT_eX]

[DOI]

Michael J. Hartmann

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

Quantum Policy Gradient Algorithm with Optimized Action Decoding.

[BibT_eX]

[DOI]

Michael J. Hartmann

Proceedings of the International Conference on Machine Learning, 2023

2022

A Survey on Quantum Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Incremental Data-Uploading for Full-Quantum Classification.

[BibT_eX]

[DOI]

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

2020

High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles.

[BibT_eX]

[DOI]