Cover Image

Quantum-Enhanced Channel Mixing in RWKV Models for Time Series Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Chi-Sheng, Kuo, En-Jui
Format:	Preprint
Published:	2025
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum-Enhanced Natural Language Generation: A Multi-Model Framework with Hybrid Quantum-Classical Architectures
by: Chen, Chi-Sheng, et al.
Published: (2025)

Quantum Adaptive Self-Attention for Quantum Transformer Models
by: Chen, Chi-Sheng, et al.
Published: (2025)

Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
by: Chen, Chi-Sheng, et al.
Published: (2025)

Unraveling Quantum Environments: Transformer-Assisted Learning in Lindblad Dynamics
by: Chen, Chi-Sheng, et al.
Published: (2025)

Do Quantum Transformers Help? A Systematic VQC Architecture Comparison on Tabular Benchmarks
by: Chen, Chi-Sheng, et al.
Published: (2026)

Quantum Algorithms for Gowers Norm Estimation, Polynomial Testing, and Arithmetic Progression Counting over Finite Abelian Groups
by: Kuo, En-Jui
Published: (2025)

Quantum-Secured Device-Independent Global Positioning System
by: Kam, Chon-Fai, et al.
Published: (2025)

Self-Testing Quantum Error Correcting Codes: Analyzing Computational Hardness
by: Kuo, En-Jui, et al.
Published: (2024)

Quantum Supremacy through Fock State $q$ boson Sampling with Transmon Qubits
by: Kam, Chon-Fai, et al.
Published: (2025)

Beyond Boson Sampling: Higher Spin Sampling as a Practical Path to Quantum Supremacy
by: Kam, Chon-Fai, et al.
Published: (2025)

Q-DPTS: Quantum Differentially Private Time Series Forecasting via Variational Quantum Circuits
by: Chen, Chi-Sheng, et al.
Published: (2025)

Quantum Temporal Convolutional Neural Networks for Cross-Sectional Equity Return Prediction: A Comparative Benchmark Study
by: Chen, Chi-Sheng, et al.
Published: (2025)

Quantum keystroke logging
by: Chang, En-Jui
Published: (2025)

Unsupervised Feature Extraction and Reconstruction Using Parameterized Quantum Circuits
by: Lo, Li-An, et al.
Published: (2025)

Quantum dual extended Hamming code immune to collective coherent errors
by: Chang, En-Jui
Published: (2025)

Oracle Separation between Noisy Quantum Polynomial Time and the Polynomial Hierarchy
by: Chia, Nai-Hui, et al.
Published: (2024)

Meta-Learning for GPU-Accelerated Quantum Many-Body Problems
by: Chen, Yun-Hsuan, et al.
Published: (2026)

Quantum Magic in early FTQC: From Diagonal Clifford Hierarchy No-Go Theorems to Architecture Design Blueprints
by: Lu, Hsueh-Hao, et al.
Published: (2026)

Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
by: Liu, Chen-Yu, et al.
Published: (2024)

Benchmarking Quantum and Classical Sequential Models for Urban Telecommunication Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2025)

High-rate extended binomial codes for multiqubit encoding
by: Chang, En-Jui
Published: (2025)

Federated Quantum Kernel-Based Long Short-term Memory for Human Activity Recognition
by: Hsu, Yu-Chao, et al.
Published: (2025)

QKAN-LSTM: Quantum-inspired Kolmogorov-Arnold Long Short-term Memory
by: Hsu, Yu-Chao, et al.
Published: (2025)

Quantum-Enhanced Parameter-Efficient Learning for Typhoon Trajectory Forecasting
by: Liu, Chen-Yu, et al.
Published: (2025)

Overlapped-repetition Shor codes achieving fourfold asymptotic rate
by: Chang, En-Jui
Published: (2025)

Accelerating Parameter Initialization in Quantum Chemical Simulations via LSTM-FC-VQE
by: Chang, Ran-Yu, et al.
Published: (2025)

Fourier Series Guided Design of Quantum Convolutional Neural Networks for Enhanced Time Series Forecasting
by: Osorio, Sandra Leticia Juárez, et al.
Published: (2024)

FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
by: Chen, Chi-Sheng, et al.
Published: (2026)

Quantum Neural Network Architectures for Multivariate Time-Series Forecasting
by: Ranilla-Cortina, Sandra, et al.
Published: (2025)

Training Classical Neural Networks by Quantum Machine Learning
by: Liu, Chen-Yu, et al.
Published: (2024)

Exploring Hybrid Quantum-Classical Methods for Practical Time-Series Forecasting
by: Dimitrijevs, Maksims, et al.
Published: (2024)

Vision-QRWKV: Exploring Quantum-Enhanced RWKV Models for Image Classification
by: Chen, Chi-Sheng
Published: (2025)

High-Rate Amplitude-Damping Shor Codes with Immunity to Collective Coherent Errors
by: Chang, En-Jui, et al.
Published: (2024)

How to surpass no-go limits in Gaussian quantum error correction and entangled Gaussian state distillation?
by: Chang, En-Jui, et al.
Published: (2024)

BARFI-Q: Quantum-Enhanced Block Attention Residual Fusion Framework for Multivariate Time-Series Forecasting in Atom Interferometry
by: Dastagir, Muhammad Bilal Akram, et al.
Published: (2026)

Fast Mixing of Quantum Spin Chains at All Temperatures
by: Bergamaschi, Thiago, et al.
Published: (2025)

Quantum Advantage in Learning Mixed Unitary Channels
by: Tu, Yue, et al.
Published: (2025)

Benchmarking Quantum Models for Time-series Forecasting
by: Jones, Caitlin, et al.
Published: (2024)

QEEGNet: Quantum Machine Learning for Enhanced Electroencephalography Encoding
by: Chen, Chi-Sheng, et al.
Published: (2024)

Programming Variational Quantum Circuits with Quantum-Train Agent
by: Liu, Chen-Yu, et al.
Published: (2024)