Imagen de Portada

Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Jiang, Jiun-Cheng, Huang, Morris Yu-Chao, Chen, Tianlong, Goan, Hsi-Sheng
Formato:	Preprint
Publicado:	2025
Materias:	Quantum Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Generative Quantum-inspired Kolmogorov-Arnold Eigensolver
por: Lin, Yu-Cheng, et al.
Publicado: (2026)

L2O-$g^{\dagger}$: Learning to Optimize Parameterized Quantum Circuits with Fubini-Study Metric Tensor
por: Huang, Yu-Chao, et al.
Publicado: (2024)

KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
por: Kundu, Akash, et al.
Publicado: (2024)

Test-Time Training with Quantum Auto-Encoder: From Distribution Shift to Noisy Quantum Circuits
por: Jian, Damien, et al.
Publicado: (2024)

Quantum Kolmogorov-Arnold networks by combining quantum signal processing circuits
por: Daskin, Ammar
Publicado: (2024)

Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints
por: Sen, Abhijit, et al.
Publicado: (2025)

Quantum Recurrent Unit: A Parameter-Efficient Quantum Neural Network Architecture for NISQ Devices
por: Wu, Tzong-Daw, et al.
Publicado: (2026)

Enhanced Variational Quantum Kolmogorov-Arnold Network
por: Wakaura, Hikaru, et al.
Publicado: (2025)

Adaptive Variational Quantum Kolmogorov-Arnold Network
por: Wakaura, Hikaru, et al.
Publicado: (2025)

QuKAN: A Quantum Circuit Born Machine approach to Quantum Kolmogorov Arnold Networks
por: Werner, Yannick, et al.
Publicado: (2025)

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning
por: Peng, Kuo-Chung, et al.
Publicado: (2026)

Probing Quantum Spin Systems with Kolmogorov-Arnold Neural Network Quantum States
por: Shamim, Mahmud Ashraf, et al.
Publicado: (2025)

Generative Adversarial Variational Quantum Kolmogorov-Arnold Network
por: Wakaura, Hikaru
Publicado: (2025)

Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
por: Qi, Jun, et al.
Publicado: (2023)

Variational Kolmogorov-Arnold Network
por: Alesiani, Francesco, et al.
Publicado: (2025)

Special-Unitary Parameterization for Trainable Variational Quantum Circuits
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)

Optimization by VarQITE on Adaptive Variational Quantum Kolmogorov-Arnold Network
por: Wakaura, Hikaru, et al.
Publicado: (2025)

Combinations of Fast Activation and Trigonometric Functions in Kolmogorov-Arnold Networks
por: Ta, Hoang-Thang, et al.
Publicado: (2025)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
por: Qi, Jun, et al.
Publicado: (2024)

Global Coherence in Quantum Discord as a Resource
por: Jebarathinam, Chellasamy, et al.
Publicado: (2024)

Knowledge Distillation for Variational Quantum Convolutional Neural Networks on Heterogeneous Data
por: Yu, Kai, et al.
Publicado: (2025)

Q-Newton: Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent
por: Li, Pingzhi, et al.
Publicado: (2024)

Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits
por: Qi, Jun, et al.
Publicado: (2026)

A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
por: Liu, Chen-Yu, et al.
Publicado: (2024)

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
por: Lee, Yu-Ting, et al.
Publicado: (2026)

Activation Space Selectable Kolmogorov-Arnold Networks
por: Yang, Zhuoqin, et al.
Publicado: (2024)

FEKAN: Feature-Enriched Kolmogorov-Arnold Networks
por: Menon, Sidharth S., et al.
Publicado: (2026)

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
por: Wang, Haoran, et al.
Publicado: (2024)

Symbolic Analysis of Grover Search Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization
por: Chen, Min, et al.
Publicado: (2025)

A Versatile Variational Quantum Kernel Framework for Non-Trivial Classification
por: Yuhan, Jiang, et al.
Publicado: (2025)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
por: Lin, Yu-Cheng, et al.
Publicado: (2025)

Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography
por: Li, Pingzhi, et al.
Publicado: (2024)

Training Deep Physics-Informed Kolmogorov-Arnold Networks
por: Rigas, Spyros, et al.
Publicado: (2025)

Operational Coherent Measurements with Steering and Randomness
por: Jebarathinam, Chellasamy, et al.
Publicado: (2025)

Kolmogorov-Arnold Representation for Symplectic Learning: Advancing Hamiltonian Neural Networks
por: Wu, Zongyu, et al.
Publicado: (2025)

Enhancing Quantum Variational Algorithms with Zero Noise Extrapolation via Neural Networks
por: Bhattacharjee, Subhasree, et al.
Publicado: (2024)

TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
por: Qi, Jun, et al.
Publicado: (2025)

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

Existence of Pauli-like stabilizers for every quantum error-correcting code
por: Kao, Jhih-Yuan, et al.
Publicado: (2023)