Quantum Annealing Enhanced Reinforcement Learning for Accurate Remaining Useful Lifetime Prediction

arXiv:2606.18503 · cs.LG, stat.ML · Submitted 2026-06-16 · Read on arXiv

Manoranjan Gandhudi, Arunkumar V., G. R. Anil, Gangadharan G. R

cs.LG, stat.ML

Submitted: 2026-06-16

Comments: 29 pages, 6 figures, 12 tables

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Quantum Annealing — 32× in this paper · explained in 2 episodes
• Q-learning — 31× in this paper · explained in 3 episodes
• Predictive Maintenance — 30× in this paper · explained in 2 episodes
• Reinforcement Learning — 18× in this paper · explained in 4 episodes
• Benchmark — 15× in this paper · explained in 2 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Transformer — 13× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Remaining Useful Lifetime — 5× in this paper
• Ablation Study — 4× in this paper · explained in 3 episodes
• Attention Mechanism — 4× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 14 episodes
• Transfer Learning — 4× in this paper · explained in 16 episodes
• Clustering — 3× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 3 episodes
• Federated Learning — 3× in this paper · explained in 19 episodes
• Operating Regimes — 3× in this paper · explained in 2 episodes
• QAOA — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 6 episodes
• Circuit Depth — 2× in this paper · explained in 2 episodes
• Evaluation Protocol — 2× in this paper · explained in 2 episodes
• Feature Engineering — 2× in this paper · explained in 3 episodes
• Feature Extraction — 2× in this paper · explained in 3 episodes
• Graph Construction — 2× in this paper · explained in 3 episodes
• Hyperparameters — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Mean Squared Error — 2× in this paper
• Overfitting — 2× in this paper · explained in 2 episodes
• Quadratic Unconstrained Binary Optimisation — 2× in this paper
• Reward Function — 2× in this paper · explained in 4 episodes
• Spectral Gap — 2× in this paper · explained in 6 episodes
• Augmentation — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 9 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 9 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Denoising Autoencoder — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 1× in this paper · explained in 12 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Hierarchical Framework — 1× in this paper · explained in 2 episodes
• Hybrid Model — 1× in this paper · explained in 2 episodes
• Mean Absolute Error — 1× in this paper
• Mean Absolute Percentage Error — 1× in this paper
• Mean Bias Deviation — 1× in this paper
• Mobile Edge Computing — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Particle Filter — 1× in this paper
• Quantum-annealing-enhanced Q-learning — 1× in this paper
• Reinforcement Learning (RL) — 1× in this paper · explained in 26 episodes
• Relative Squared Error — 1× in this paper
• Root Mean Squared Error — 1× in this paper
• Scaffolding — 1× in this paper · explained in 3 episodes
• Superconducting Qubits — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes

Sources

• Hybrid quantum recurrent neural network for remaining useful life prediction

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