QAQL integrates quantum annealing into the Q-learning loop via QUBO formulations solved on D-Wave Advantage, yielding statistically significant outperformance over classical and quantum baselines on NASA C-MAPSS and device-fleet RUL benchmarks.
arXiv preprint arXiv:2504.20823 (2025)
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Introduces bounded old-state modulation via tanh gate to stabilize self-modulating QFWPs, with evaluations showing reduced divergence and improved robustness on quantum dynamics and SMS tasks.
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Quantum Annealing Enhanced Reinforcement Learning for Accurate Remaining Useful Lifetime Prediction
QAQL integrates quantum annealing into the Q-learning loop via QUBO formulations solved on D-Wave Advantage, yielding statistically significant outperformance over classical and quantum baselines on NASA C-MAPSS and device-fleet RUL benchmarks.
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Stable Self-Modulating Quantum Fast-Weight Programmers with Bounded Memory Gates
Introduces bounded old-state modulation via tanh gate to stabilize self-modulating QFWPs, with evaluations showing reduced divergence and improved robustness on quantum dynamics and SMS tasks.