Hybrid quantum genetic algorithm converges faster with higher diversity than classical GA for portfolio optimization and uses fewer evaluations than brute force.
G., Venturelli, D., & Biswas, R
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A Comparative Study of Hybrid Quantum and Classical Genetic Algorithms in Portfolio Optimization
Hybrid quantum genetic algorithm converges faster with higher diversity than classical GA for portfolio optimization and uses fewer evaluations than brute force.