Won Joon Yun — accepted AI-conference papers

2023

FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract)

Hankyul Baek, Won Joon Yun, Joongheon Kim

AAAI 2023technical

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 convolutional filters in QCNN extract intrinsic feature using quantum-based ansatz, it should use only finite number of qubits to…

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2023

Quantum Multi-Agent Meta Reinforcement Learning

Won Joon Yun, Jihong Park, Joongheon Kim

AAAI 2023technical

Although quantum supremacy is yet to come, there has recently been an increasing interest in identifying the potential of quantum machine learning (QML) in the looming era of practical quantum computing. Motivated by this, in this article we re-design multi-agent reinforcement learning (MARL) based…

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