Adaptive CVaR sampling, two-stage optimization, and a heavy-hex-native deep-chain ansatz layout improve VQA results on dynamic portfolio optimization, with the new layout best on IBM hardware, though no quantum advantage over classical solvers is found.
Scaling the variational quantum eigensolver for dynamic portfolio optimization.arXiv preprint arXiv:2412.19150, 2025
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VQA for Dynamic Portfolio Optimization: Sampling Strategies, Optimizer Scheduling, and Hardware-Aware Ansatz Design
Adaptive CVaR sampling, two-stage optimization, and a heavy-hex-native deep-chain ansatz layout improve VQA results on dynamic portfolio optimization, with the new layout best on IBM hardware, though no quantum advantage over classical solvers is found.