10 citations · 14 across the 10 of their papers we have counts for
10 papers
Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration
Yen-Jui Chang, Wei-Ting Wang, Chen-Yu Liu +2
We present a novel Adaptive Distribution Generator that leverages a quantum walks-based approach to generate high precision and efficiency of target probability distributions. Our…
Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
Ming-Fong Sie, Yen-Jui Chang, Chien-Lung Lin +2
Over 900 million Bitcoin transactions have been recorded, posing considerable challenges for machine learning in terms of computation time and maintaining prediction accuracy. We p…
Quantum-Inspired Portfolio Optimization In The QUBO Framework
Ying-Chang Lu, Chao-Ming Fu, Lien-Po Yu +2
A quantum-inspired optimization approach is proposed to study the portfolio optimization aimed at selecting an optimal mix of assets based on the risk-return trade-off to achieve t…
Quantum Entanglement in Dirac Dynamics via Continuous-Time Quantum Walks in a Quantum Circuit Framework
Wei-Ting Wang, Yen-Jui Chang, Ching Ray Chang
We propose a Continuous-Time Quantum Walks (CTQW) model for one-dimensional Dirac dynamics simulation with higher-order approximation. Our model bridges CTQW with a discrete-time m…
Quantum Embedding with Transformer for High-dimensional Data
Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao +1
Quantum embedding with transformers is a novel and promising architecture for quantum machine learning to deliver exceptional capability on near-term devices or simulators. The res…
Hybrid Quantum Neural Network in High-dimensional Data Classification
Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao +1
The research explores the potential of quantum deep learning models to address challenging machine learning problems that classical deep learning models find difficult to tackle. W…
A novel approach for quantum financial simulation and quantum state preparation
Yen-Jui Chang, Wei-Ting Wang, Hao-Yuan Chen +2
Quantum state preparation is vital in quantum computing and information processing. The ability to accurately and reliably prepare specific quantum states is essential for various…
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems
Hao-Yuan Chen, Yen-Jui Chang, Shih-Wei Liao +1
Quantum computing holds great potential for advancing the limitations of machine learning algorithms to handle higher dimensions of data and reduce overall training parameters in d…
Preparing random state for quantum financing with quantum walks
Yen-Jui Chang, Wei-Ting Wang, Hao-Yuan Chen +2
In recent years, there has been an emerging trend of combining two innovations in computer science and physics to achieve better computation capability. Exploring the potential of…
Conditional counting statistics of electrons tunneling through quantum dot systems measured by a quantum point contact
Yen-Jui Chang, Tsung-Kang Yeh, Chao-Hung Wan +3
We theoretically study the conditional counting statistics of electron transport through a system consisting of a single quantum dot (SQD) or coherently coupled double quantum dots…