Improving Quantum Recurrent Neural Networks with Amplitude Encoding

arXiv:2508.16784 · quant-ph · Submitted 2025-08-22 · Read on arXiv

quant-ph

Submitted: 2025-08-22

Updated: 2026-10-12

Terminology

• Quantum Recurrent Neural Network — 2× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
• Quantum Machine Learning for Credit Scoring
• Transformation of quantum states using uniformly controlled rotations
• Low-depth measurement-based deterministic quantum state preparation
• EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
• RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training
• Supervised quantum machine learning models are kernel methods
• Quantum computing with Qiskit
• Adam: A Method for Stochastic Optimization
• Reservoir Computing via Quantum Recurrent Neural Networks

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