Meta-Learning for Quantum Optimization via Quantum Sequence Model
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Yu-Cheng, Hsu, Yu-Chao, Chen, Samuel Yen-Chi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
by: Peng, Kuo-Chung, et al.
Published: (2026)
by: Peng, Kuo-Chung, et al.
Published: (2026)
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)
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
by: Liu, Chen-Yu, et al.
Published: (2025)
by: Liu, Chen-Yu, et al.
Published: (2025)
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2024)
by: Qi, Jun, et al.
Published: (2024)
Transfer Learning Analysis of Variational Quantum Circuits
by: Tseng, Huan-Hsin, et al.
Published: (2025)
by: Tseng, Huan-Hsin, 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)
QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
by: Hsu, Yu-Chao, et al.
Published: (2025)
by: Hsu, Yu-Chao, et al.
Published: (2025)
Quantum Reinforcement Learning by Adaptive Non-local Observables
by: Lin, Hsin-Yi, et al.
Published: (2025)
by: Lin, Hsin-Yi, et al.
Published: (2025)
Quantum Gradient Class Activation Map for Model Interpretability
by: Lin, Hsin-Yi, et al.
Published: (2024)
by: Lin, Hsin-Yi, et al.
Published: (2024)
An Introduction to Quantum Reinforcement Learning (QRL)
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)
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)
Adaptive Non-local Observable on Quantum Neural Networks
by: Lin, Hsin-Yi, et al.
Published: (2025)
by: Lin, Hsin-Yi, et al.
Published: (2025)
Quantum Super-resolution by Adaptive Non-local Observables
by: Lin, Hsin-Yi, et al.
Published: (2026)
by: Lin, Hsin-Yi, et al.
Published: (2026)
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
by: Chen, Samuel Yen-Chi
Published: (2024)
by: Chen, Samuel Yen-Chi
Published: (2024)
Diagonal Adaptive Non-local Observables on Quantum Neural Networks
by: Tseng, Huan-Hsin, et al.
Published: (2026)
by: Tseng, Huan-Hsin, et al.
Published: (2026)
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting
by: Hsu, Yu-Chao, et al.
Published: (2024)
by: Hsu, Yu-Chao, et al.
Published: (2024)
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)
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)
Learning to Program Quantum Measurements for Machine Learning
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)
Learning to Measure Quantum Neural Networks
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
by: Chen, Samuel Yen-Chi, et al.
Published: (2025)
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 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)
Sequence-Model-Guided Measurement Selection for Quantum State Learning
by: Huang, Jiaxin, et al.
Published: (2025)
by: Huang, Jiaxin, et al.
Published: (2025)
Neural Architecture Search for Quantum Autoencoders
by: Agha, Hibah, et al.
Published: (2025)
by: Agha, Hibah, et al.
Published: (2025)
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)
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
by: Chen, Kuan-Cheng, et al.
Published: (2024)
by: Chen, Kuan-Cheng, et al.
Published: (2024)
Deep Sequence Modeling with Quantum Dynamics: Language as a Wave Function
by: Nebli, Ahmed, et al.
Published: (2026)
by: Nebli, Ahmed, 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 Phase Recognition via Quantum Attention Mechanism
by: Chen, Jin-Long, et al.
Published: (2026)
by: Chen, Jin-Long, et al.
Published: (2026)
QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
by: Chen, Yiwei, et al.
Published: (2025)
by: Chen, Yiwei, et al.
Published: (2025)
Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)
by: Liao, Yidong, et al.
Published: (2021)
Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)
by: Fan, Fan, et al.
Published: (2026)
TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
by: Qi, Jun, et al.
Published: (2025)
by: Qi, Jun, 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)
Quantum Kernel-Based Long Short-term Memory
by: Hsu, Yu-Chao, et al.
Published: (2024)
by: Hsu, Yu-Chao, et al.
Published: (2024)
Quantum-enhanced Large Language Models on Quantum Hardware via Cayley Unitary Adapters
by: Aizpurua, Borja, et al.
Published: (2026)
by: Aizpurua, Borja, et al.
Published: (2026)
Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
by: Chen, Min, et al.
Published: (2025)
by: Chen, Min, et al.
Published: (2025)
Similar Items
-
Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
by: Peng, Kuo-Chung, et al.
Published: (2026) -
Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
by: Chen, Kuan-Cheng, et al.
Published: (2025) -
Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
by: Liu, Chen-Yu, et al.
Published: (2025) -
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2024) -
Transfer Learning Analysis of Variational Quantum Circuits
by: Tseng, Huan-Hsin, et al.
Published: (2025)