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Author

Maniraman Periyasamy

Observed name: Periyasamy, Maniraman
ORCID: 0000-0003-3126-1855
Observed ORCID: 0000-0003-3126-1855
OpenAlex ID: A5016692100
How to Get the Most Out of U-Net for Glacier Calving Front Segmentation
2022 · Maniraman Periyasamy, Amirabbas Davari, et al. · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 43
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A Survey on Quantum Reinforcement Learning
2022 · Meyer, Nico, Ufrecht, Christian, et al. · arXiv (Cornell University) · 39
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Cutting multi-control quantum gates with ZX calculus
2023 · Christian Ufrecht, Maniraman Periyasamy, et al. · Quantum · 30
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An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients
2023 · Marco Wiedmann, Marc Hölle, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 26
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Uncovering instabilities in variational-quantum deep Q-networks
2022 · Maja Franz, Lucas Wolf, et al. · Journal of the Franklin Institute · 26
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Optimal joint cutting of two-qubit rotation gates
2024 · Christian Ufrecht, Laura S. Herzog, et al. · Physical Review A · 16
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Incremental Data-Uploading for Full-Quantum Classification
2022 · Maniraman Periyasamy, Nico Meyer, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 16
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Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule
2024 · Maniraman Periyasamy, Axel Plinge, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 10
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Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning
2024 · Sebastian Rietsch, Abhishek Y. Dubey, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 9
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BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
2024 · Maniraman Periyasamy, Marc Hölle, et al. · International Joint Conference on Neural Networks (IJCNN) · 7
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Fourier Analysis of Variational Quantum Circuits for Supervised Learning
2025 · Marco Wiedmann, Maniraman Periyasamy, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 3
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Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
2024 · Nico Meyer, Christian Ufrecht, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 2
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Shot‐Based Quantum Encoding: A Data‐Loading Paradigm for Quantum Neural Networks
2026 · Basil Kyriacou, Viktoria Patapovich, et al. · Advanced Computing · 1
Cutreg: a Loss Regularizer for Enhancing the Scalability of Qml Via Adaptive Circuit Cutting
2025 · Maniraman Periyasamy, Christian Ufrecht, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 1
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Shot‐Based Quantum Encoding: A Data‐Loading Paradigm for Quantum Neural Networks (Advanced Computing 1/2026)
2026 · Basil Kyriacou, Viktoria Patapovich, et al. · Advanced Computing
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Hybrid Quantum Neural Networks: Theory, Implementations, and Applications
2026 · Monbroussou, Léo, Periyasamy, Maniraman, et al. · arXiv (Cornell University)
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A Transferable Machine Learning Approach to Predict Optimized Orbitals for Electronic Structure Problems
2026 · van der Horst, Lucas, Periyasamy, Maniraman, et al. · arXiv (Cornell University)
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Soft-Quantum Algorithms
2026 · Kyriacou, Basil, Kordzanganeh, Mo, et al. · arXiv (Cornell University)
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Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
2025 · Mattick, Alexander, Periyasamy, Maniraman, et al. · arXiv (Cornell University)
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Works count: 20
Citation count: 229
H-index: 9
I10-index: 8
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