Showing cs.ETShow all
2 papers · 1 filter
cs.ET2026
Quantum Approximate Multi-Objective Optimization in Routing Problems
Eduardo Willwock Lussi, Alisson dos Passos Fumaco, Marcos Vinicius Reballo +3
Multi-objective optimization (MOO) problems are common in logistics, where routing decisions must balance conflicting objectives such as travel distance, delivery time, and operati…
cs.ET2026
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…