FPQC-SAC adds a bounded parameterized quantum circuit to SAC to constrain representations in low-SNR financial environments, reporting 66.89% higher cumulative returns than standard SAC on real portfolio tasks.
Christoph Bergmeir, José M
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Neural networks outperform traditional econometric models in yield curve forecasting accuracy and simulated bond trading performance for US and European markets.
citing papers explorer
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Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum Representations
FPQC-SAC adds a bounded parameterized quantum circuit to SAC to constrain representations in low-SNR financial environments, reporting 66.89% higher cumulative returns than standard SAC on real portfolio tasks.
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Data-Driven Duration Management -- Term Structure Forecasting Using Machine Learning
Neural networks outperform traditional econometric models in yield curve forecasting accuracy and simulated bond trading performance for US and European markets.