5 papers
Adaptive Quantum Physics-Informed Neural Networks for Differential Equations with Applications to Fluid Dynamics
Fabio Pereira dos Santos, Renato Portugal, Júlio de Castro Vargas Fernandes +1
Physics-informed neural networks (PINNs) have emerged as a versatile approach for solving nonlinear partial differential equations (PDEs), yet achieving high accuracy efficiently u…
A Classical-Quantum Hybrid Architecture for Physics-Informed Neural Networks
Said Lantigua, Gilson Giraldi, Renato Portugal
In this work, we introduce the Quantum-Classical Hybrid Physics-Informed Neural Network with Multiplicative and Additive Couplings (QPINN-MAC): a novel hybrid architecture that int…
A Gate-Based Quantum Genetic Algorithm for Real-Valued Global Optimization
Leandro C. Souza, Laurent E. Dardenne, Renato Portugal
We propose a gate-based Quantum Genetic Algorithm (QGA) for real-valued global optimization. In this model, individuals are represented by quantum circuits whose measurement outcom…
Single-Qudit Quantum Neural Networks for Multiclass Classification
Leandro C. Souza, Renato Portugal
This paper proposes a single-qudit quantum neural network for multiclass classification, by using the enhanced representational capacity of high-dimensional qudit states. Our desig…
Regression and Classification with Single-Qubit Quantum Neural Networks
Leandro C. Souza, Bruno C. Guingo, Gilson Giraldi +1
The literature reflects a mutually beneficial relationship between machine learning and quantum computing, where progress in one field frequently drives improvements in the other.…