3 papers
Sparse Walsh-Pauli Correlation Encoding for MaxCut: A Quantum-Inspired Formulation with Quantum-Hardware Validation
Cesar Augusto do Amaral, Nicolás Legnazzi, Marcos Vinicius Reballo +3
We introduce a sparse Walsh-Pauli correlation encoding for MaxCut, in which graph variables are represented by diagonal Pauli-string expectation values computed classically as norm…
A hybrid quantum-classical neural network for learning to route
Marcus Rolf Peter Ritt, Alexsandro Santos da Rosa Júnior, Marcos Vinicius Reballo +2
This work studies hybrid quantum-classical neural networks for learning routing heuristics. Specifically, this paper asks whether small quantum neural networks can replace paramete…
A review of quantum machine learning and quantum-inspired applied methods to computational fluid dynamics
Cesar A. Amaral, Vinícius L. Oliveira, Juan P. L. C. Salazar +1
Computational Fluid Dynamics (CFD) is central to science and engineering, but faces severe scalability challenges, especially in high-dimensional, multiscale, and turbulent regimes…