2 papers
cs.ET2026
A Quantum-Inspired Approach to MaxCut Based on Sparse Walsh/Pauli-Correlation Encoding
Cesar Augusto do Amaral, Marcos Vinicius Reballo, Marcus Ritt +2
We present a quantum-inspired Walsh/PCE solver for MaxCut based on sparse Pauli-correlation encodings. Instead of assigning one qubit or one variable to each graph vertex directly,…
cs.LG2026
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…