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Explore the Julia ecosystem for Quadratic Unconstrained Binary Optimization (QUBO) in this 26-minute conference talk. Dive into the recent developments in QUBO problem-solving methods, including algorithmic improvements and physics-inspired hardware technologies. Learn about the QUBO.jl framework, designed to provide reliable solver access, reproducible benchmarking, and systematic model translation. Discover the components of QUBO.jl, including JuMP solver interfaces, improved support for indicator constraints, and integration with DisjunctiveProgramming.jl. Examine QUBOLib.jl, a comprehensive collection of QUBO problems with a simple API for running instances on various solvers. Gain hands-on experience in Quantum Optimization using QUBO.jl, accessing quantum hardware as JuMP solvers, and analyzing results.
