AI × CryptoNeutralarXiv – CS AI · 6h ago6/10
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Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum Representations
Researchers propose FPQC-SAC, a quantum-enhanced reinforcement learning algorithm designed to improve portfolio management in noisy financial markets. The method uses parameterized quantum circuits to filter unreliable data representations before processing, reportedly achieving 66.89% better returns than standard SAC and 27% improvement over existing deep reinforcement learning baselines.