5 citations · 9 across the 11 of their papers we have counts for
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Evolutionary Optimization for Designing Variational Quantum Circuits with High Model Capacity
Samuel Yen-Chi Chen
Recent advancements in quantum computing (QC) and machine learning (ML) have garnered significant attention, leading to substantial efforts toward the development of quantum machin…
An Introduction to Quantum Reinforcement Learning (QRL)
Samuel Yen-Chi Chen
Recent advancements in quantum computing (QC) and machine learning (ML) have sparked considerable interest in the integration of these two cutting-edge fields. Among the various ML…
Quantum Machine Learning Architecture Search via Deep Reinforcement Learning
Xin Dai, Tzu-Chieh Wei, Shinjae Yoo +1
The rapid advancement of quantum computing (QC) and machine learning (ML) has given rise to the burgeoning field of quantum machine learning (QML), aiming to capitalize on the stre…
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning
Samuel Yen-Chi Chen
The emergence of quantum reinforcement learning (QRL) is propelled by advancements in quantum computing (QC) and machine learning (ML), particularly through quantum neural networks…
Learning to Program Variational Quantum Circuits with Fast Weights
Samuel Yen-Chi Chen
Quantum Machine Learning (QML) has surfaced as a pioneering framework addressing sequential control tasks and time-series modeling. It has demonstrated empirical quantum advantages…