Differentiable quantum architecture search in asynchronous quantum reinforcement learning
SYC Chen - arXiv preprint arXiv:2407.18202, 2024 - arxiv.org
The emergence of quantum reinforcement learning (QRL) is propelled by advancements in
quantum computing (QC) and machine learning (ML), particularly through quantum neural …
quantum computing (QC) and machine learning (ML), particularly through quantum neural …
Hands-On Introduction to Quantum Machine Learning
This tutorial offers a hands-on introduction into the captivating field of quantum machine
learning (QML). Beginning with the bedrock of quantum information science (QIS)-including …
learning (QML). Beginning with the bedrock of quantum information science (QIS)-including …
An Introduction to Quantum Reinforcement Learning (QRL)
SYC Chen - arXiv preprint arXiv:2409.05846, 2024 - arxiv.org
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 …
sparked considerable interest in the integration of these two cutting-edge fields. Among the …
Learning to Program Variational Quantum Circuits with Fast Weights
SYC Chen - arXiv preprint arXiv:2402.17760, 2024 - arxiv.org
Quantum Machine Learning (QML) has surfaced as a pioneering framework addressing
sequential control tasks and time-series modeling. It has demonstrated empirical quantum …
sequential control tasks and time-series modeling. It has demonstrated empirical quantum …
[PDF][PDF] Utilizing a Hybrid Matrix Product State and Variational Quantum Circuit Architecture for the Detection of Kidney Diseases
S Yoo, V Jannapureddy, H Tseng - 2024 - osti.gov
Computed tomography (CT) scans are widely used for diagnosing and monitoring renal
diseases but have a misdiagnosis rate of nearly 30%. Neural networks, particularly when …
diseases but have a misdiagnosis rate of nearly 30%. Neural networks, particularly when …