Image de couverture de livre

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Yu-Ting, Chen, Samuel Yen-Chi, Chang, Fu-Chieh
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Quantum Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits
par: Chen, Chi-Sheng, et autres
Publié: (2025)

Learning to Program Variational Quantum Circuits with Fast Weights
par: Chen, Samuel Yen-Chi
Publié: (2024)

Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
par: Peng, Yifeng, et autres
Publié: (2025)

Transfer Learning Analysis of Variational Quantum Circuits
par: Tseng, Huan-Hsin, et autres
Publié: (2025)

Special-Unitary Parameterization for Trainable Variational Quantum Circuits
par: Chen, Kuan-Cheng, et autres
Publié: (2025)

Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
par: Chen, Samuel Yen-Chi
Publié: (2024)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
par: Qi, Jun, et autres
Publié: (2024)

Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
par: Dai, Xin, et autres
Publié: (2024)

An Introduction to Quantum Reinforcement Learning (QRL)
par: Chen, Samuel Yen-Chi
Publié: (2024)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
par: Lin, Yu-Cheng, et autres
Publié: (2025)

Reinforcement Learning for Variational Quantum Circuits Design
par: Foderà, Simone, et autres
Publié: (2024)

Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
par: Chen, Samuel Yen-Chi
Publié: (2024)

Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
par: Nguyen, Hoang-Quan, et autres
Publié: (2024)

Programming Variational Quantum Circuits with Quantum-Train Agent
par: Liu, Chen-Yu, et autres
Publié: (2024)

Quantum Reinforcement Learning by Adaptive Non-local Observables
par: Lin, Hsin-Yi, et autres
Publié: (2025)

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis
par: Tsai, Yun-Cheng, et autres
Publié: (2025)

Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits
par: Willow, Soohaeng Yoo, et autres
Publié: (2025)

Active Learning with Variational Quantum Circuits for Quantum Process Tomography
par: Yang, Jiaqi, et autres
Publié: (2024)

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning
par: Kölle, Michael, et autres
Publié: (2024)

A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
par: Kölle, Michael, et autres
Publié: (2024)

You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models
par: Liu, Chen-Yu, et autres
Publié: (2025)

Introduction to Quantum Machine Learning and Quantum Architecture Search
par: Chen, Samuel Yen-Chi, et autres
Publié: (2025)

Fourier Analysis of Variational Quantum Circuits for Supervised Learning
par: Wiedmann, Marco, et autres
Publié: (2024)

Variational Quantum Circuit-Based Reinforcement Learning for Dynamic Portfolio Optimization
par: Gurgul, Vincent, et autres
Publié: (2026)

Challenges for Reinforcement Learning in Quantum Circuit Design
par: Altmann, Philipp, et autres
Publié: (2023)

Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning
par: Chen, Chi-Sheng, et autres
Publié: (2025)

Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
par: Liu, Chen-Yu, et autres
Publié: (2025)

Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
par: Qi, Jun, et autres
Publié: (2023)

Scalable Quantum Machine Learning via Multi-layer Fully-Connected Variational Quantum Circuits
par: Su, Howard, et autres
Publié: (2026)

Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
par: Chen, Chi-Sheng, et autres
Publié: (2025)

Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
par: Yeung, Richie, et autres
Publié: (2026)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
par: Chen, Kuan-Cheng, et autres
Publié: (2025)

Qubit-Wise Architecture Search Method for Variational Quantum Circuits
par: Chen, Jialin, et autres
Publié: (2024)

Beyond Reinforcement Learning: Fast and Scalable Quantum Circuit Synthesis
par: Theißinger, Lukas, et autres
Publié: (2026)

Reinforcement Learning for Adaptive Composition of Quantum Circuit Optimisation Passes
par: Mills, Daniel, et autres
Publié: (2026)

QCA-MolGAN: Quantum Circuit Associative Molecular GAN with Multi-Agent Reinforcement Learning
par: Thomas, Aaron Mark, et autres
Publié: (2025)

Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies
par: Zhuang, Jun, et autres
Publié: (2024)

Physics-Informed Bayesian Optimization of Variational Quantum Circuits
par: Nicoli, Kim A., et autres
Publié: (2024)

Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits
par: Qi, Jun, et autres
Publié: (2026)

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
par: Mattick, Alexander, et autres
Publié: (2025)