Multi-objective optimization (MOO) problems are common in logistics, where routing decisions must balance conflicting objectives such as travel distance, delivery time, and operational risk. A recently proposed Quantum Approximate Optimization Algorithm (QAOA) parameter-transfer strategy solves multi-objective MAX-CUT...
E. Lussi, Alisson dos Passos Fumaco, Marcos Vinicius Reballo et al.· 0 citations
Feedback-based quantum algorithms recently gained attention by demonstrating how quantum computers can be used to solve optimization problems without resorting to hybrid quantum-classical architectures. Recent progress made with Feedback-based Algorithm for Quantum Optimization (FALQON) variants significantly reduced t...
Letícia Bertuzzi, João P. Engster, Evandro C. R. da Rosa et al.· 0 citations
Detecting and characterizing quantum correlations are tasks of great relevance in quantum information. More specifically, quantifying the amount of multipartite entanglement is a known difficult task, even for pure states. To this end, several entanglement measures have been proposed, although there is currently no uni...
João P. Engster, E. Duzzioni· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.