Pedro Maciel Xavier
Open-source, blitz chess, roda de choro enthusiast; Computer and Information Engineer & Mathematician from UFRJ; M.Sc. Student at the Systems Engineering & Computer Science Program, UFRJ; Ph.D. student and member of the SECQUOIA research group at Purdue University. Previously, Research Intern in Public Healthcare at IFF/Fiocruz; Researcher & Developer at PSR Energy Inc. Research Intern in Analog Optimization at Microsoft Research.
Session
In this talk, we would like to show how QUBO.jl makes Quantum Optimization accessible to Operations Research practitioners as it integrates a heterogeneous hardware and software landscape under a common interface, providing users with a smooth modeling experience. By leveraging JuMP’s extension capabilities, QUBO.jl makes it simple to access quantum and other novel devices as if they were regular optimization solvers. This makes it the ideal environment to try and explore potential applications.