249 citations · 284 across the 17 of their papers we have counts for
17 papers
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding
Won Joon Yun, Jae Pyoung Kim, Hankyul Baek +4
While witnessing the noisy intermediate-scale quantum (NISQ) era and beyond, quantum federated learning (QFL) has recently become an emerging field of study. In QFL, each quantum c…
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification
Won Joon Yun, Hankyul Baek, Joongheon Kim
In recent years, quantum machine learning (QML) has been actively used for various tasks, e.g., classification, reinforcement learning, and adversarial learning. However, these QML…
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications
Hankyul Baek, Won Joon Yun, Joongheon Kim
With the beginning of the noisy intermediate-scale quantum (NISQ) era, a quantum neural network (QNN) has recently emerged as a solution for several specific problems that classica…
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications
Won Joon Yun, Soohyun Park, Joongheon Kim +1
Guaranteeing real-time and accurate object detection simultaneously is paramount in autonomous driving environments. However, the existing object detection neural network systems a…
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features
Hankyul Baek, Won Joon Yun, Joongheon Kim
Quantum convolutional neural network (QCNN) has just become as an emerging research topic as we experience the noisy intermediate-scale quantum (NISQ) era and beyond. As convolutio…
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design
Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim +4
In recent years, quantum computing (QC) has been getting a lot of attention from industry and academia. Especially, among various QC research topics, variational quantum circuit (V…