A quantum algorithm encodes probability densities in state amplitudes and uses QFT plus phase rotations to propagate Fokker-Planck drift exactly and diffusion approximately via a Wick-rotated unitary surrogate, achieving numerical agreement with the classical solution.
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2026 2verdicts
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A DQN-based observer control policy for bearings-only tracking matches information-theoretic baselines on average accuracy while reducing worst-case errors by nearly ten times through a reward that enforces filter consistency.
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Quantum Prediction of Transport Dynamics in Discretized State Spaces
A quantum algorithm encodes probability densities in state amplitudes and uses QFT plus phase rotations to propagate Fokker-Planck drift exactly and diffusion approximately via a Wick-rotated unitary surrogate, achieving numerical agreement with the classical solution.
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Reinforcement Learning Trained Observer Control for Bearings-Only Tracking
A DQN-based observer control policy for bearings-only tracking matches information-theoretic baselines on average accuracy while reducing worst-case errors by nearly ten times through a reward that enforces filter consistency.