VQE with Dicke state ansatz encodes diversification constraints for multiclass portfolio optimization and outperforms other optimizers when paired with CMA-ES on convergence and approximation metrics.
Montanaro, Quantum speedup of branch-and-bound algorithms, Physical Review Research 2, 013056 (2020)
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Multiclass Portfolio Optimization via Variational Quantum Eigensolver with Dicke State Ansatz
VQE with Dicke state ansatz encodes diversification constraints for multiclass portfolio optimization and outperforms other optimizers when paired with CMA-ES on convergence and approximation metrics.