27 citations · 37 across the 28 of their papers we have counts for
14 papers · 1 filter
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning
Kuan-Cheng Chen, Samuel Yen-Chi Chen, Chen-Yu Liu +1
In this paper, we introduce Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning (Dist-QTRL), a novel approach to addressing the scalability challenges of traditional…
Programming Variational Quantum Circuits with Quantum-Train Agent
Chen-Yu Liu, Samuel Yen-Chi Chen, Kuan-Cheng Chen +2
In this study, the Quantum-Train Quantum Fast Weight Programmer (QT-QFWP) framework is proposed, which facilitates the efficient and scalable programming of variational quantum cir…
Quantum Kernel-Based Long Short-term Memory
Yu-Chao Hsu, Tai-Yu Li, Kuan-Cheng Chen
The integration of quantum computing into classical machine learning architectures has emerged as a promising approach to enhance model efficiency and computational capacity. In th…
Quantum-Trained Convolutional Neural Network for Deepfake Audio Detection
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Samuel Yen-Chi Chen +1
The rise of deepfake technologies has posed significant challenges to privacy, security, and information integrity, particularly in audio and multimedia content. This paper introdu…
CompressedMediQ: Hybrid Quantum Machine Learning Pipeline for High-Dimensional Neuroimaging Data
Kuan-Cheng Chen, Yi-Tien Li, Tai-Yu Li +3
This paper introduces CompressedMediQ, a novel hybrid quantum-classical machine learning pipeline specifically developed to address the computational challenges associated with hig…
Quantum-Train with Tensor Network Mapping Model and Distributed Circuit Ansatz
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Kuan-Cheng Chen
In the Quantum-Train (QT) framework, mapping quantum state measurements to classical neural network weights is a critical challenge that affects the scalability and efficiency of h…
Noise-Aware Distributed Quantum Approximate Optimization Algorithm on Near-term Quantum Hardware
Kuan-Cheng Chen, Xiatian Xu, Felix Burt +3
This paper introduces a noise-aware distributed Quantum Approximate Optimization Algorithm (QAOA) tailored for execution on near-term quantum hardware. Leveraging a distributed fra…
Generalised Circuit Partitioning for Distributed Quantum Computing
Felix Burt, Kuan-Cheng Chen, Kin Leung
Distributed quantum computing (DQC) is a new paradigm aimed at scaling up quantum computing via the interconnection of smaller quantum processing units (QPUs). Shared entanglement…
Quantum Computing for Climate Resilience and Sustainability Challenges
Kin Tung Michael Ho, Kuan-Cheng Chen, Lily Lee +4
The escalating impacts of climate change and the increasing demand for sustainable development and natural resource management necessitate innovative technological solutions. Quant…
Quantum-Train Long Short-Term Memory: Application on Flood Prediction Problem
Chu-Hsuan Abraham Lin, Chen-Yu Liu, Kuan-Cheng Chen
Flood prediction is a critical challenge in the context of climate change, with significant implications for ecosystem preservation, human safety, and infrastructure protection. In…
QTRL: Toward Practical Quantum Reinforcement Learning via Quantum-Train
Chen-Yu Liu, Chu-Hsuan Abraham Lin, Chao-Han Huck Yang +2
Quantum reinforcement learning utilizes quantum layers to process information within a machine learning model. However, both pure and hybrid quantum reinforcement learning face cha…
Parallel Quantum Local Search via Evolutionary Mechanism
Chen-Yu Liu, Kuan-Cheng Chen
We propose an innovative Parallel Quantum Local Search (PQLS) methodology that leverages the capabilities of small-scale quantum computers to efficiently address complex combinator…
HamilToniQ: An Open-Source Benchmark Toolkit for Quantum Computers
Xiaotian Xu, Kuan-Cheng Chen, Robert Wille
In this paper, we introduce HamilToniQ, an open-source, and application-oriented benchmarking toolkit for the comprehensive evaluation of Quantum Processing Units (QPUs). Designed…
Multi-GPU-Enabled Hybrid Quantum-Classical Workflow in Quantum-HPC Middleware: Applications in Quantum Simulations
Kuan-Cheng Chen, Xiaoren Li, Xiaotian Xu +2
Achieving high-performance computation on quantum systems presents a formidable challenge that necessitates bridging the capabilities between quantum hardware and classical computi…