qReduMIS, using QAOA frozen-node signals plus classical reductions, solves real market MIS portfolio instances up to 225 assets on Helios with far better success and TTS scaling than standalone QAOA.
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A synthesis of quantum methods in finance finds that carefully designed hybrid systems offer the strongest practical advantages in optimization, pricing, risk, ML, and cryptography.
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Quantum-Informed Portfolio Selection: An End-to-End Pipeline Validated on Trapped-Ion Hardware with Real Market Data
qReduMIS, using QAOA frozen-node signals plus classical reductions, solves real market MIS portfolio instances up to 225 assets on Helios with far better success and TTS scaling than standalone QAOA.
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Quantum Computing for Financial Transformation: A Review of Optimisation, Pricing, Risk, Machine Learning, and Post-Quantum Security
A synthesis of quantum methods in finance finds that carefully designed hybrid systems offer the strongest practical advantages in optimization, pricing, risk, ML, and cryptography.