Our paper "Quantum Architecture Search via Continual Reinforcement Learning" is on arXiv! arxiv.org/abs/2112.05779 #quantum #QuantumComputing #QuantumLeap #MachineLearning #ArtificialIntelligence

I wrote a FREE introductory quantum computing textbook! The only prerequisite is trigonometry. It's essentially the #PHY595 course I've been teaching at Creighton University since 2018. Download it from my website at thomaswong.net. (1/n)

Our paper "Variational quantum reinforcement learning via evolutionary optimization" has been published on "Machine Learning: Science and Technology" iopscience.iop.org/article/10.108…

Great new work by Samuel Yen-Chi Chen Ying-Jer Kao et al Computational Science Initiative (CSI) Brookhaven Lab and National Taiwan University - 'Variational #quantum reinforcement learning via evolutionary #optimization' - bit.ly/3uNWQFH #machinelearning #quantumcomputing #algorithms #neuralnetworks

'Variational #quantum reinforcement learning via evolutionary #optimization' by Samuel Yen-Chi Chen Ying-Jer Kao et al Computational Science Initiative (CSI) Brookhaven Lab and National Taiwan University hits 500 downloads! bit.ly/3uNWQFH #machinelearning #quantumcomputing #algorithms #neuralnetworks

Samuel Chen Brookhaven Lab CSI is merging the best parts of classical & quantum #MachineLearning, seeking better performance, classification or learning speed w/#QuantumAdvantage. Via Zoom: 'When Reinforcement Learning Meets #QuantumComputing.' Register: bit.ly/3LV1Gae

Our paper "Quantum convolutional neural networks for high energy physics data analysis" has been officially published on Physical Review Research. #QuantumComputing #MachineLearning #ArtificialIntelligence journals.aps.org/prresearch/abs…

Quantum convolutional neural networks for high energy physics data analysis, Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, and Shinjae Yoo Samuel Yen-Chi Chen Computational Science Initiative (CSI) #quantum #machinelearning #networks go.aps.org/3IOJDzA

'An end-to-end trainable hybrid classical-#quantum classifier' by Samuel Yen-Chi Chen Ying-Jer Kao et al Computational Science Initiative (CSI) and National Taiwan University hits 1000 downloads! bit.ly/3nkuRcK #machinelearning #tensornetworks #quantumcomputing #NISQ #datascience #algorithms #opendata

I'm speaking at Introduction to Hybrid Quantum-Classical Machine Learning with Applications. Would you like to attend? linkedin.com/events/introdu…

(1/3) Amazing IEEE ICASSP 2022 Quantum ML papers from the special session I co-chaired: - Quantum Long Short-Term Memory, arxiv.org/abs/2009.01783 by Samuel Yen-Chi Chen - Matching Point Sets with Quantum Circuit Learning, arxiv.org/pdf/2102.06697… by Reza Hanchen Wang

We are thrilled to announce that our work "Asynchronous training of quantum reinforcement learning" is released on arxiv! arxiv.org/abs/2301.05096 #QuantumComputing #quantumtechnology #quantummachinelearning #reinforcementlearning #ArtificialIntelligence

NOW >3K DOWNLOADS! 🥳'Variational #quantum reinforcement learning via evolutionary #optimization' by Samuel Yen-Chi Chen Ying-Jer Kao et al Computational Science Initiative (CSI) Brookhaven Lab and National Taiwan University- bit.ly/3uNWQFH #machinelearning #quantumcomputing #algorithms #neuralnetworks

🚀 CALL FOR PAPERS: Quantum Machine Learning Special Session at IEEE WCCI IJCNN 2024! 🌟 🔍 Are you passionate about Quantum Machine Learning (QML) algorithms and their impact on scientific discovery and industry applications? ijcnn-2024-qml.github.io

Join us at IEEE WCCI IJCNN 2024 in Yokohama, Japan, from June 30 to July 5, 2024, as we delve into the forefront of QML innovation! 📝 Submission Due: January 15, 2024 🌏 Location: Yokohama, Japan ijcnn-2024-qml.github.io

This special session welcomes groundbreaking QML algorithms and their diverse applications, spanning scientific breakthroughs to commercial and industrial advancements. Share your research, insights, and discoveries with a global audience of experts and enthusiasts.

ℹ️ Key Focus Areas: Quantum-enhanced machine learning algorithms Applications in scientific exploration Commercial and industrial implementation of QML ijcnn-2024-qml.github.io

The encoding of classical data into a quantum computer is one of the main challenges for quantum neural networks. In the first approach (Samuel Yen-Chi Chen ,Pin-Yu Chen (IBM Research)), the high-dimensional data is first preprocessed by a tensor network. arxiv.org/abs/2402.15333

Samuel Yen-Chi Chen introduces a new learning strategy for quantum recurrent neural networks called Quantum Fast Weight Programmers. This approach is particularly interesting for reinforcement learning and time-series predictions. arxiv.org/abs/2402.17760