Ching‐Ray Chang
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View article: Quantum Stochastic Walks for Portfolio Optimization: Theory and Implementation on Financial Networks
Quantum Stochastic Walks for Portfolio Optimization: Theory and Implementation on Financial Networks Open
Financial markets are noisy yet contain a latent graph–theoretic structure that can be exploited for superior risk-adjusted returns. We propose a \emph{quantum-stochastic-walk} (QSW) optimizer that embeds assets in a weighted graph—nodes a…
View article: Quantum Stochastic Walks for Portfolio Optimization: Theory and Implementation on Financial Networks
Quantum Stochastic Walks for Portfolio Optimization: Theory and Implementation on Financial Networks Open
Financial markets are noisy yet contain a latent graph-theoretic structure that can be exploited for superior risk-adjusted returns. We propose a quantum stochastic walk (QSW) optimizer that embeds assets in a weighted graph: nodes represe…
View article: Entanglement induced by Heisenberg exchange between an electron in a nested quantum dot and a qubit with relative motion
Entanglement induced by Heisenberg exchange between an electron in a nested quantum dot and a qubit with relative motion Open
We propose a nested quantum dot (QD) structure to achieve enhanced control of entanglement induced by Heisenberg exchange between an electron and a qubit. Entanglement is quantified by mutual information (MI). We first consider the case of…
View article: FinGPT-Agent: An Advanced Framework for Multimodal Research Report Generation with Task-Adaptive Optimization and Hierarchical Attention
FinGPT-Agent: An Advanced Framework for Multimodal Research Report Generation with Task-Adaptive Optimization and Hierarchical Attention Open
Financial research report generation is challengingdue to diverse data types, real-time requirements, and thecomplexity of financial analysis. This paper introduces FinGPT-Agent, a multi-agent framework that uses Large LanguageModels (LLMs…
View article: Quantum Walks–Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration
Quantum Walks–Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration Open
We present a novel Adaptive Distribution Generator (ADG) that leverages a quantum walks–based approach to generate high precision and efficiency of target probability distributions. Our method integrates variational quantum circuits with d…
View article: Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Open
Over 900 million Bitcoin transactions have been recorded, posing considerable challenges for machine learning regarding computation time and maintaining prediction accuracy. We propose an innovative approach using quantum-inspired algorith…
View article: Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection
Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Open
Over 900 million Bitcoin transactions have been recorded, posing considerable challenges for machine learning in terms of computation time and maintaining prediction accuracy. We propose an innovative approach using quantum-inspired algori…
View article: Quantum Entanglement in Dirac Dynamics via Continuous-Time Quantum Walks in a Quantum Circuit Framework
Quantum Entanglement in Dirac Dynamics via Continuous-Time Quantum Walks in a Quantum Circuit Framework Open
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 model called Dirac Cellular Automata (DCA) via Quantum Fouri…
View article: Efficient Exploration of Phenol Derivatives Using QUBO Solvers with Group Contribution-Based Approaches
Efficient Exploration of Phenol Derivatives Using QUBO Solvers with Group Contribution-Based Approaches Open
Molecule screening from a vast number of possible compounds is a challenging task. The emergence of quadratic unconstrained binary optimization (QUBO) solvers provides alternatives to address this issue. We propose a process for screening …
View article: Quantum Embedding with Transformer for High-dimensional Data
Quantum Embedding with Transformer for High-dimensional Data Open
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 research incorporated a vision transformer (ViT) to advance qu…
View article: Deep Q-learning with hybrid quantum neural network on solving maze problems
Deep Q-learning with hybrid quantum neural network on solving maze problems Open
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 deep learning (DL) models. This study uses a trainable varia…
View article: Hybrid Quantum Neural Network in High-dimensional Data Classification
Hybrid Quantum Neural Network in High-dimensional Data Classification Open
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. We introduce a novel model architecture that combines classi…
View article: Hybrid Quantum Neural Network in High-dimensional Data Classification
Hybrid Quantum Neural Network in High-dimensional Data Classification Open
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. We introduce a novel model architecture that combines classi…
View article: A Novel Approach for Quantum Financial Simulation and Quantum State Preparation
A Novel Approach for Quantum Financial Simulation and Quantum State Preparation Open
Quantum state preparation is a vital process in quantum computing and quantum information processing. The ability to accurately and reliably prepare specific quantum states is essential for a variety of applications. One of the promising a…
View article: Guest Editorial [Guest Editorial]
Guest Editorial [Guest Editorial] Open
This special issue focuses on the computational aspects of edge computing and presents innovative frameworks and technologies to enhance its efficiency and capabilities. It explores various domains, such as sensors, health care, and measur…
View article: A novel approach for quantum financial simulation and quantum state preparation
A novel approach for quantum financial simulation and quantum state preparation Open
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 applications. One of the promising applications of quantum …
View article: Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems Open
Quantum computing holds great potential for advancing the limitations of machine learning algorithms to handle higher data dimensions and reduce overall training parameters in deep neural network (DNN) models. This study uses a parameteriz…
View article: The Aharonov Casher phase of a bipartite entanglement pair traversing a quantum square ring
The Aharonov Casher phase of a bipartite entanglement pair traversing a quantum square ring Open
We propose in this article a quantum square ring that conveniently generates, annihilates and distills the Aharonov Casher phase with the aid of entanglement. The non-Abelian phase is carried by a pair of spin-entangled particles traversin…
View article: Terminal Velocity Motion Model Used to Analyze the Mutual Phase-locking of STNOs
Terminal Velocity Motion Model Used to Analyze the Mutual Phase-locking of STNOs Open
Using Legendre transformation, a standard theoretical approach extensively used in classical mechanics as well as thermal dynamics, two-dimensional non-linear auto-oscillators including spin torque nano-oscillators (STNOs) can be equivalen…
View article: The Applications of the Quantum Computer and the Exascale Computer [Commentary] [Commentary]
The Applications of the Quantum Computer and the Exascale Computer [Commentary] [Commentary] Open
Supercomputers are making rapid progress. For the world's fastest supercomputer “Frontier,” the computing speed has reached 10 trillion floating-point instruction cycles per second (10 18 , exaFLOPS), making many existing complex problems,…
View article: Preparing random state for quantum financing with quantum walks
Preparing random state for quantum financing with quantum walks Open
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 quantum computation to achieve highly efficient performance…
View article: The Aharonov Casher phase of a bipartite entanglement pair traversing a quantum square ring
The Aharonov Casher phase of a bipartite entanglement pair traversing a quantum square ring Open
We propose in this article a quantum square ring that conveniently generates, annihilates and distills the Aharonov Casher phase with the aid of entanglement. The non-Abelian phase is carried by a pair of spin-entangled particles traversin…
View article: Quantum walk in (1+1)-dimensional spacetime for Majorana dynamics with high order approximation in NISQ
Quantum walk in (1+1)-dimensional spacetime for Majorana dynamics with high order approximation in NISQ Open
In this study, we show that quantum walk can describe a Majorana fermion when the coin operator constrained by Lorentz covariance and the initial state satisfies the Majorana condition. The time evolution of a Majorana fermion is demonstra…
View article: Quantum walk in (1+1)-dimensional spacetime for Majorana dynamics with high order approximation in NISQ
Quantum walk in (1+1)-dimensional spacetime for Majorana dynamics with high order approximation in NISQ Open
In this study, we show that quantum walk can describe a Majorana fermion when the coin operator constrained by Lorentz covariance and the initial state satisfies the Majorana condition. The time evolution of a Majorana fermion is demonstra…
View article: Magnetic proximity effect of YIG/PtSe2
Magnetic proximity effect of YIG/PtSe2 Open
The magnetic proximity effect has pronounced influence on the transport properties of bilayer system with a heavy metal and a magnetic insulator. Here we first review the magneto-transport properties of non-magnetic heavy metal/magnetic in…
View article: Quantum Computing Technology [Guest Editorial]
Quantum Computing Technology [Guest Editorial] Open
Digital computers can perform fast sequential operations. After bit operations, a definite sequence of zeros or ones is obtained, which is similar to the use of an electronic mechanism to quickly operate a huge abacus. The bit of a digital…
View article: Goodenough-Kanamori-Anderson Rules in CrI<sub>3</sub>/MoTe<sub>2</sub>/CrI<sub>3</sub> Van der Waals Heterostructure
Goodenough-Kanamori-Anderson Rules in CrI<sub>3</sub>/MoTe<sub>2</sub>/CrI<sub>3</sub> Van der Waals Heterostructure Open
Superexchange interaction is the main mechanism for spin ordering in magnetic insulators. Goodenough-Kanamori-Anderson(GKA) rules for superexchange interactions are widely applied in magnetic materials, including magnetic oxides, perovskit…
View article: In-Memory Computing Architecture for a Convolutional Neural Network Based on Spin Orbit Torque MRAM
In-Memory Computing Architecture for a Convolutional Neural Network Based on Spin Orbit Torque MRAM Open
Recently, numerous studies have investigated computing in-memory (CIM) architectures for neural networks to overcome memory bottlenecks. Because of its low delay, high energy efficiency, and low volatility, spin-orbit torque magnetic rando…