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20172025
most citedA novel approach for quantum financial simulation and quantum state preparation

10 citations · 14 across the 10 of their papers we have counts for

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7 papers · 1 filter

quant-ph2025

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…

quant-ph2024

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…

quant-ph2024

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…

quant-ph2024

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…

quant-ph2023★ 10 cited

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…

quant-ph2023

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…

quant-ph2023★ 1 cited

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…