Imagen de Portada

Quantum Embedding with Transformer for High-dimensional Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Hao-Yuan, Chang, Yen-Jui, Liao, Shih-Wei, Chang, Ching-Ray
Formato:	Preprint
Publicado:	2024
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

A novel approach for quantum financial simulation and quantum state preparation
por: Chang, Yen-Jui, et al.
Publicado: (2023)

Quantum Entanglement in Dirac Dynamics via Continuous-Time Quantum Walks in a Quantum Circuit Framework
por: Wang, Wei-Ting, et al.
Publicado: (2024)

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
por: Sie, Ming-Fong, et al.
Publicado: (2024)

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

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

Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)

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

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

Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration
por: Chang, Yen-Jui, et al.
Publicado: (2025)

Photonic Quantum-Enhanced Knowledge Distillation
por: Chen, Kuan-Cheng, et al.
Publicado: (2026)

Quantum-Inspired Portfolio Optimization In The QUBO Framework
por: Lu, Ying-Chang, et al.
Publicado: (2024)

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

Generative Quantum Data Embeddings for Supervised Learning
por: Heo, Jaewoong, et al.
Publicado: (2026)

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

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis
por: Tsai, Yun-Cheng, et al.
Publicado: (2025)

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

Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
por: Tecot, Lucas, et al.
Publicado: (2025)

Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits
por: Willow, Soohaeng Yoo, et al.
Publicado: (2025)

UDiTQC: U-Net-Style Diffusion Transformer for Quantum Circuit Synthesis
por: Chen, Zhiwei, et al.
Publicado: (2025)

Multiple Embeddings for Quantum Machine Learning
por: Han, Siyu, et al.
Publicado: (2025)

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

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

Minor Embedding for Quantum Annealing with Reinforcement Learning
por: Nembrini, Riccardo, et al.
Publicado: (2025)

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

You Only Measure Once: On Designing Single-Shot Quantum Machine Learning Models
por: Liu, Chen-Yu, et al.
Publicado: (2025)

A Primer on Quantum Machine Learning
por: Chang, Su Yeon, et al.
Publicado: (2025)

Molecular Quantum Transformer
por: Kamata, Yuichi, et al.
Publicado: (2025)

Quantum Vision Transformers
por: Cherrat, El Amine, et al.
Publicado: (2022)

Quantum keystroke logging
por: Chang, En-Jui
Publicado: (2025)

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

Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits
por: Nguyen, Hoang-Quan, et al.
Publicado: (2024)

Quantum Temporal Fusion Transformer
por: Barik, Krishnakanta, et al.
Publicado: (2025)

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

Predicting Properties of Quantum Systems with Conditional Generative Models
por: Wang, Haoxiang, et al.
Publicado: (2022)

Online Learning Quantum States with the Logarithmic Loss via VB-FTRL
por: Tseng, Wei-Fu, et al.
Publicado: (2023)

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

Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
por: Peng, Yifeng, et al.
Publicado: (2025)

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

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

Federated Quantum-Train Long Short-Term Memory for Gravitational Wave Signal
por: Liu, Chen-Yu, et al.
Publicado: (2025)