Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Chen-Yu, Chen, Kuan-Cheng, Chen, Yi-Chien, Chen, Samuel Yen-Chi, Huang, Wei-Hao, Huang, Wei-Jia, Chang, Yen-Jui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
Programming Variational Quantum Circuits with Quantum-Train Agent
by: Liu, Chen-Yu, et al.
Published: (2024)
by: Liu, Chen-Yu, et al.
Published: (2024)
Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal
by: Liu, Chen-Yu, et al.
Published: (2025)
by: Liu, Chen-Yu, et al.
Published: (2025)
Federated Quantum-Train with Batched Parameter Generation
by: Liu, Chen-Yu, et al.
Published: (2024)
by: Liu, Chen-Yu, et al.
Published: (2024)
Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
by: Chen, Jun-Hao, et al.
Published: (2025)
by: Chen, Jun-Hao, et al.
Published: (2025)
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
by: Chen, Kuan-Cheng, et al.
Published: (2024)
by: Chen, Kuan-Cheng, et al.
Published: (2024)
Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, et al.
Published: (2025)
Photonic Quantum-Enhanced Knowledge Distillation
by: Chen, Kuan-Cheng, et al.
Published: (2026)
by: Chen, Kuan-Cheng, et al.
Published: (2026)
Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, et al.
Published: (2025)
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
Scalable Quantum Machine Learning via Multi-layer Fully-Connected Variational Quantum Circuits
by: Su, Howard, et al.
Published: (2026)
by: Su, Howard, et al.
Published: (2026)
Toward Large-Scale Distributed Quantum Long Short-Term Memory with Modular Quantum Computers
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models
by: Liu, Chen-Yu, et al.
Published: (2025)
by: Liu, Chen-Yu, et al.
Published: (2025)
Quantum Relational Knowledge Distillation
by: Liu, Chen-Yu, et al.
Published: (2025)
by: Liu, Chen-Yu, et al.
Published: (2025)
Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis
by: Tsai, Yun-Cheng, et al.
Published: (2025)
by: Tsai, Yun-Cheng, et al.
Published: (2025)
An Introduction to Quantum Reinforcement Learning (QRL)
by: Chen, Samuel Yen-Chi
Published: (2024)
by: Chen, Samuel Yen-Chi
Published: (2024)
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
by: Chen, Samuel Yen-Chi
Published: (2024)
by: Chen, Samuel Yen-Chi
Published: (2024)
Learning to Program Variational Quantum Circuits with Fast Weights
by: Chen, Samuel Yen-Chi
Published: (2024)
by: Chen, Samuel Yen-Chi
Published: (2024)
QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding
by: Chen, Chi-Sheng, et al.
Published: (2024)
by: Chen, Chi-Sheng, et al.
Published: (2024)
Quantum Machine Learning for UAV Swarm Intrusion Detection
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection
by: Lin, Chu-Hsuan Abraham, et al.
Published: (2024)
by: Lin, Chu-Hsuan Abraham, et al.
Published: (2024)
Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)
by: Lee, Yu-Ting, et al.
Published: (2026)
Quantum Embedding with Transformer for High-dimensional Data
by: Chen, Hao-Yuan, et al.
Published: (2024)
by: Chen, Hao-Yuan, et al.
Published: (2024)
Learning to Learn with Quantum Optimization via Quantum Neural Networks
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)
by: Lin, Yu-Cheng, et al.
Published: (2025)
Special-Unitary Parameterization for Trainable Variational Quantum Circuits
by: Chen, Kuan-Cheng, et al.
Published: (2025)
by: Chen, Kuan-Cheng, et al.
Published: (2025)
Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
by: Chen, Samuel Yen-Chi
Published: (2024)
by: Chen, Samuel Yen-Chi
Published: (2024)
Introduction to Quantum Machine Learning and Quantum Architecture Search
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, et al.
Published: (2025)
Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration
by: Chang, Yen-Jui, et al.
Published: (2025)
by: Chang, Yen-Jui, et al.
Published: (2025)
Quantum Machine Learning: An Interplay Between Quantum Computing and Machine Learning
by: Qi, Jun, et al.
Published: (2024)
by: Qi, Jun, et al.
Published: (2024)
Quantum Entanglement in Dirac Dynamics via Continuous-Time Quantum Walks in a Quantum Circuit Framework
by: Wang, Wei-Ting, et al.
Published: (2024)
by: Wang, Wei-Ting, et al.
Published: (2024)
Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
by: Sie, Ming-Fong, et al.
Published: (2024)
by: Sie, Ming-Fong, et al.
Published: (2024)
Consensus Protocols for Entanglement-Aware Scheduling in Distributed Quantum Neural Networks
by: Chen, Kuan-Cheng, et al.
Published: (2026)
by: Chen, Kuan-Cheng, et al.
Published: (2026)
Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning
by: Chen, Chi-Sheng, et al.
Published: (2025)
by: Chen, Chi-Sheng, et al.
Published: (2025)
Quantum Long Short-term Memory with Differentiable Architecture Search
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
by: Dai, Xin, et al.
Published: (2024)
by: Dai, Xin, et al.
Published: (2024)
Meta-Learning for GPU-Accelerated Quantum Many-Body Problems
by: Chen, Yun-Hsuan, et al.
Published: (2026)
by: Chen, Yun-Hsuan, et al.
Published: (2026)
A novel approach for quantum financial simulation and quantum state preparation
by: Chang, Yen-Jui, et al.
Published: (2023)
by: Chang, Yen-Jui, et al.
Published: (2023)
Transfer Learning Analysis of Variational Quantum Circuits
by: Tseng, Huan-Hsin, et al.
Published: (2025)
by: Tseng, Huan-Hsin, et al.
Published: (2025)
Similar Items
-
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
by: Chen, Samuel Yen-Chi, et al.
Published: (2025) -
Programming Variational Quantum Circuits with Quantum-Train Agent
by: Liu, Chen-Yu, et al.
Published: (2024) -
Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal
by: Liu, Chen-Yu, et al.
Published: (2025) -
Federated Quantum-Train with Batched Parameter Generation
by: Liu, Chen-Yu, et al.
Published: (2024) -
Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
by: Chen, Jun-Hao, et al.
Published: (2025)