Christian Ufrecht

According to our database, Christian Ufrecht authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Alexander Mattick, Maniraman Periyasamy, Christian Ufrecht, Abhishek Y. Dubey, Christopher Mutschler, Axel Plinge, Daniel D. Scherer

CoRR, April, 2025

Cutreg: a Loss Regularizer for Enhancing the Scalability of Qml Via Adaptive Circuit Cutting.

Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Wolfgang Mauerer

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

Benchmarking Quantum Reinforcement Learning.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Joint Cutting for Hybrid Schrödinger-Feynman Simulation of Quantum Circuits.

Laura S. Herzog, Lukas Burgholzer, Christian Ufrecht, Daniel D. Scherer, Robert Wille

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

SCIM MILQ: An HPC Quantum Scheduler.

Philipp Seitz, Manuel Geiger, Christian Ufrecht, Axel Plinge, Christopher Mutschler, Daniel D. Scherer, Christian B. Mendl

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

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning.

Sebastian Rietsch, Abhishek Y. Dubey, Christian Ufrecht, Maniraman Periyasamy, Axel Plinge, Christopher Mutschler, Daniel D. Scherer

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

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

Uncovering instabilities in variational-quantum deep Q-networks.

Maja Franz, Lucas Wolf, Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Wolfgang Mauerer

J. Frankl. Inst., November, 2023

Cutting multi-control quantum gates with ZX calculus.

Christian Ufrecht, Maniraman Periyasamy, Sebastian Rietsch, Daniel D. Scherer, Axel Plinge, Christopher Mutschler

Quantum, October, 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

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