Imagen de Portada

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tsai, Yun-Cheng, Chen, Samuel Yen-Chi
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Quantum-Enhanced Forecasting for Deep Reinforcement Learning in Algorithmic Trading
por: Chen, Jun-Hao, et al.
Publicado: (2025)

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

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

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

An Introduction to Quantum Reinforcement Learning (QRL)
por: Chen, Samuel Yen-Chi
Publicado: (2024)

Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
por: Chen, Samuel Yen-Chi
Publicado: (2024)

Learning to Program Variational Quantum Circuits with Fast Weights
por: Chen, Samuel Yen-Chi
Publicado: (2024)

Data Depth and Core-based Trend Detection on Blockchain Transaction Networks
por: Zhu, Jason, et al.
Publicado: (2023)

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

Introduction to Quantum Machine Learning and Quantum Architecture Search
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)

Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective
por: Hsieh, Din-Yin, et al.
Publicado: (2024)

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

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

Understanding InfoNCE: Transition Probability Matrix Induced Feature Clustering
por: Cheng, Ge, et al.
Publicado: (2025)

Bitcoin's Edge: Embedded Sentiment in Blockchain Transactional Data
por: Kleitsikas, Charalampos, et al.
Publicado: (2025)

Exploring the Potential of QEEGNet for Cross-Task and Cross-Dataset Electroencephalography Encoding with Quantum Machine Learning
por: Chen, Chi-Sheng, et al.
Publicado: (2025)

Q-A3C2: Quantum Reinforcement Learning with Time-Series Dynamic Clustering for Adaptive ETF Stock Selection
por: Liu, Yen-Ku, et al.
Publicado: (2025)

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

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

Quantum Long Short-term Memory with Differentiable Architecture Search
por: Chen, Samuel Yen-Chi, et al.
Publicado: (2025)

Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting
por: Tsai, Yun-Da, et al.
Publicado: (2024)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)

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

Contrastive Learning for Efficient Transaction Validation in UTXO-based Blockchains
por: Attar, Hamid, et al.
Publicado: (2025)

Enhance the Robustness of Text-Centric Multimodal Alignments
por: Yen, Ting-Yu, et al.
Publicado: (2024)

Optimizing Sensor Network Design for Multiple Coverage
por: Taus, Lukas, et al.
Publicado: (2024)

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

Quantum-Enhanced Reinforcement Learning with LSTM Forecasting Signals for Optimizing Fintech Trading Decisions
por: Liu, Yen-Ku, et al.
Publicado: (2025)

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

MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
por: Sawaika, Abhishek, et al.
Publicado: (2026)

Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
por: Hasan, Mohammad, et al.
Publicado: (2024)

A Frequentist Statistical Introduction to Variational Inference, Autoencoders, and Diffusion Models
por: Chen, Yen-Chi
Publicado: (2025)

Transfer Learning Analysis of Variational Quantum Circuits
por: Tseng, Huan-Hsin, et al.
Publicado: (2025)

Quantum-Enhanced Temporal Embeddings via a Hybrid Seq2Seq Architecture
por: Hsieh, Tien-Ching, et al.
Publicado: (2026)

Hybrid Quantum Temporal Convolutional Networks
por: Park, Junghoon Justin, et al.
Publicado: (2026)

Adaptive Non-local Observable on Quantum Neural Networks
por: Lin, Hsin-Yi, et al.
Publicado: (2025)

Quantum Reinforcement Learning by Adaptive Non-local Observables
por: Lin, Hsin-Yi, et al.
Publicado: (2025)

Quantum Super-resolution by Adaptive Non-local Observables
por: Lin, Hsin-Yi, et al.
Publicado: (2026)

Quantum Gradient Class Activation Map for Model Interpretability
por: Lin, Hsin-Yi, et al.
Publicado: (2024)