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20242026
most citedFeedback-Based Quantum Strategies for Constrained Combinatorial Optimization Problems

1 citations · 1 across the 7 of their papers we have counts for

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8 papers

math.NA2026

Quantum-Inspired Tensor Networks for Approximating PDE Flow Maps

Nahid Binandeh Dehaghani, Ban Q. Tran, Rafal Wisniewski +2

We investigate quantum-inspired tensor networks (QTNs) for approximating flow maps of hydrodynamic partial differential equations (PDEs). Motivated by the effective low-rank struct…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2025★ 1 cited

Feedback-Based Quantum Strategies for Constrained Combinatorial Optimization Problems

Salahuddin Abdul Rahman, Özkan Karabacak, Rafal Wisniewski

Feedback-based quantum algorithms have recently emerged as potential methods for approximating the ground states of Hamiltonians. One such algorithm, the feedback-based algorithm f…

quant-ph2024

State-Constrained Optimal Control for Coherence Preservation in Multi-Level Open Quantum Systems

Nahid Binandeh Dehaghani, A. Pedro Aguiar, Rafal Wisniewski

This paper addresses the optimal control of quantum coherence in multi-level systems, modeled by the Lindblad master equation, which captures both unitary evolution and environment…

quant-ph2024

Feedback-Based Quantum Algorithm for Constrained Optimization Problems

Salahuddin Abdul Rahman, Özkan Karabacak, Rafal Wisniewski

The feedback-based algorithm for quantum optimization (FALQON) has recently been proposed to solve quadratic unconstrained binary optimization problems. This paper efficiently gene…

quant-ph2024

State Estimation and Control for Stochastic Quantum Dynamics with Homodyne Measurement: Stabilizing Qubits under Uncertainty

Nahid Binandeh Dehaghani, A. Pedro Aguiar, Rafal Wisniewski

This paper introduces a Lyapunov-based control approach with homodyne measurement. We study two filtering approaches: (i) the traditional quantum filtering and (ii) a modified vers…

math.DS2024

Lyapunov Densities For Markov Processes: An Application To Quantum Systems With Non-Demolition Measurements

Özkan Karabacak, Horia Cornean, Rafael Wisniewski

Stochastic convergence of discrete time Markov processes has been analysed based on a dual Lyapunov approach. Using some existing results on ergodic theory of Markov processes, it…