4 papers
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…
Full Quantum Stack: Ket Platform
Evandro Rosa, Eduardo Lussi, Jerusa Marchi +1
As quantum computing hardware continues to scale, the need for a robust software infrastructure that bridges the gap between high-level algorithm development and low-level physical…
A Time Optimization Framework for the Implementation of Robust and Low-latency Quantum Circuits
Eduardo Willwock Lussi, Rafael de Santiago, Eduardo Inacio Duzzioni
Quantum computing has garnered attention for its potential to solve complex computational problems with considerable speedup. Despite notable advancements in the field, achieving m…
Implementing a Quantum Finite Automaton in IBMQ using Custom Control Pulses
Eduardo Willwock Lussi, Lucas Cavalcante de Sousa, Jerusa Marchi +2
Quantum finite automata can be used for pattern recognition. Present implementations on actual quantum devices face decoherence issues, which compromise the quality of long strings…