7 papers
Investigation of Feature Selection and Pooling Methods for Environmental Sound Classification
Parinaz Binandeh Dehaghani, Danilo Pena, A. Pedro Aguiar
This paper explores the impact of dimensionality reduction and pooling methods for Environmental Sound Classification (ESC) using lightweight CNNs. We evaluate Sparse Salient Regio…
Trotterized Variational Quantum Control for Spin-Chain State Transfer
Nahid Binandeh Dehaghani, Rafal Wisniewski, A. Pedro Aguiar
We present a hybrid variational framework for quantum optimal control aimed at high-fidelity state transfer in spin chains. The system dynamics are discretized and compiled into a…
Quantum-Assisted Barrier Sequential Quadratic Programming for Nonlinear Optimal Control
Nahid Binandeh Dehaghani, Rafal Wisniewski, A. Pedro Aguiar
We propose a quantum-assisted framework for solving constrained finite-horizon nonlinear optimal control problems using a barrier Sequential Quadratic Programming (SQP) approach. W…
Quantum-Assisted Learning of Time-Dependent Parabolic PDEs
Nahid Binandeh Dehaghani, Ban Tran, A. Pedro Aguiar +2
We present a hybrid quantum-classical framework for solving general time-dependent parabolic partial differential equations (PDEs) using quantum variational circuits. Building on t…
Robust Entanglement Generation in Bipartite Quantum Systems Using Optimal Control
Nahid Binandeh Dehaghani, A. Pedro Aguiar, Rafal Wisniewski
Quantum entanglement is a key resource for quantum technologies, yet its efficient and high-fidelity generation remains a challenge due to the complexity of quantum dynamics. This…
Quantum Solution Framework for Finite-Horizon LQG Control via Block Encodings and QSVT
Nahid Binandeh Dehaghani, Rafal Wisniewski, A. Pedro Aguiar
We present a quantum algorithm for solving the finite-horizon discrete-time Linear Quadratic Gaussian (LQG) control problem, which integrates optimal control and state estimation i…