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Nahid Binandeh Dehaghani

Observed names: Ban Tran, Nahid Binandeh Dehaghani, Dehaghani, Nahid Binandeh
Observed institutions: FPT University, Texas Tech University, Universidade do Porto, Sheikh Bahaei University, Centro de Investigação em Sistemas e Tecnologias, Aalborg University
ORCID: 0000-0002-0370-7744
Observed ORCID: 0000-0002-0370-7744
OpenAlex ID: A5041894093
Quantum Pontryagin Neural Networks in Gamkrelidze Form Subjected to the Purity of Quantum Channels
2023 · Nahid Binandeh Dehaghani, A. Pedro Aguiar, et al. · IEEE Control Systems Letters · 10
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Quantum Control Modelling, Methods, and Applications
2022 · Nahid Binandeh Dehaghani, Fernando Lobo Pereira, et al. · 10
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Optimal Control of Quantum Systems by Pontryagin Maximum Principle
2022 · Nahid Binandeh Dehaghani, Fernando Lobo Pereira · U Porto Journal of Engineering · 9
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High Fidelity Quantum State Transfer by Pontryagin Maximum Principle
2022 · Nahid Binandeh Dehaghani, Fernando Lobo Pereira · IFAC-PapersOnLine · 9
A Hybrid Quantum-Classical Physics-Informed Neural Network Architecture for Solving Quantum Optimal Control Problems
2024 · Nahid Binandeh Dehaghani, A. Pedro Aguiar, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 8
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A Quantum Optimal Control Problem with State Constrained Preserving Coherence
2022 · Nahid Binandeh Dehaghani, Fernando Lobo Pereira, et al. · IEEE Conference on Decision and Control (CDC) · 7
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Design, simulation and optimization of a nonreciprocal guided-wave optical isolator based on Mach-Zehnder interferometer
2019 · Nahid Binandeh Dehaghani, Amir Hamid Alizadeh · Journal of Physics Communications · 4
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Quantum State Transfer Optimization: Balancing Fidelity and Energy Consumption using Pontryagin Maximum Principle
2023 · Nahid Binandeh Dehaghani, A. Pedro Aguiar · International Conference on Systems and Control (ICSC) · 3
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An Application of Pontryagin Neural Networks to Solve Optimal Quantum Control Problems
2023 · Nahid Binandeh Dehaghani, A. Pedro Aguiar · International Conference on Control, Decision and Information Technologies (CoDIT) · 3
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Quantum Solution Framework for Finite-Horizon LQG Control via Block Encodings and QSVT
2025 · Nahid Binandeh Dehaghani, Rafal Wisniewski, et al. · IEEE International Conference on Quantum Computing and Engineering (QCE) · 2
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State Estimation and Control for Stochastic Quantum Dynamics With Homodyne Measurement: Stabilizing Qubits Under Uncertainty
2024 · Nahid Binandeh Dehaghani, A. Pedro Aguiar, et al. · IEEE Access · 2
Quantum-Assisted Barrier Sequential Quadratic Programming for Nonlinear Optimal Control
2025 · Nahid Binandeh Dehaghani, Rafal Wisniewski, et al. · IEEE Control Systems Letters · 1
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Structured variational quantum control for spin-chain state transfer: Expressivity, trainability, and robustness
2026 · Nahid Binandeh Dehaghani, Rafal Wisniewski, et al. · Engineering Applications of Artificial Intelligence
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On Embedding Design in Quantum Physics-Informed Neural Networks
2026 · Tran, Ban Q., Dehaghani, Nahid Binandeh, et al. · arXiv (Cornell University)
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Rank-Dependent Error Bounds and Near-Optimality in Quantum Control via Hierarchical Tucker Surrogates
2026 · Dehaghani, Nahid Binandeh, Wisniewski, Rafal, et al. · arXiv (Cornell University)
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A Variational Surrogate Approach to Finite-Horizon Quantum Control via Hardware-Efficient Ansatz
2026 · Dehaghani, Nahid Binandeh, Wisniewski, Rafal, et al. · arXiv (Cornell University)
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Tensor Network Methods for Advection-Diffusion-Reaction Systems Using Quantum-Inspired Representations
2026 · Dehaghani, Nahid Binandeh, Wisniewski, Rafal, et al. · arXiv (Cornell University)
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Tensor Network Methods for Advection–Diffusion–Reaction Systems Using Quantum-Inspired Representations
2026 · Nahid Binandeh Dehaghani, Rafal Wisniewski, et al. · International Conference on Control, Decision and Information Technologies (CoDIT)
Quantum-Assisted Trainable-Embedding Physics-Informed Neural Networks for Parabolic PDEs
2026 · Ban Q. Tran, Nahid Binandeh Dehaghani, et al. · IEEE International Conference on Quantum Control, Computing and Learning (qCCL)
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Quantum-Inspired Tensor Networks for Approximating PDE Flow Maps
2026 · Nahid Binandeh Dehaghani, Ban Q. Tran, et al. · IEEE International Conference on Quantum Control, Computing and Learning (qCCL)
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A QPINN Framework with Quantum Trainable Embeddings for the Lid-Driven Cavity Problem
2026 · Dehaghani, Nahid Binandeh, Tran, Ban Q., et al. · arXiv (Cornell University)
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Certified Quantum Schrödinger Control via Hierarchical Tucker Models
2026 · Dehaghani, Nahid Binandeh, Wisniewski, Rafal, et al. · arXiv (Cornell University)
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A Trainable-Embedding Quantum Physics-Informed Framework for Multi-Species Reaction-Diffusion Systems
2026 · Tran, Ban Q., Dehaghani, Nahid Binandeh, et al. · arXiv (Cornell University)
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A Trainable-Embedding Quantum Physics-Informed Framework for Multi-Species Reaction–Diffusion Systems
2026 · Ban Tran, Nahid Binandeh Dehaghani · Code Ocean
Certified Quantum Schrödinger Control via Hierarchical Tucker Models
2026 · Nahid Binandeh Dehaghani, Rafal Wisniewski, et al. · IEEE Control Systems Letters
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Works count: 35
Citation count: 66
H-index: 6
I10-index: 1
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