Maniraman Periyasamy

According to our database, Maniraman Periyasamy authored at least 7 papers between 2022 and 2023.

Collaborative distances:

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

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

Batch Quantum Reinforcement Learning.

Maniraman Periyasamy, Marc Hölle, Marco Wiedmann, Daniel D. Scherer, Axel Plinge, Christopher Mutschler

CoRR, 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

How to Get the Most Out of U-Net for Glacier Calving Front Segmentation.

Maniraman Periyasamy, AmirAbbas Davari, Thorsten Seehaus, Matthias Braun, Andreas Maier, Vincent Christlein

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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