Samuel Yen-Chi Chen

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Brookhaven National Laboratory

Federated Quantum Machine Learning

Distributed training across several quantum computers could significantl...
03/22/2021 ∙ by Samuel Yen-Chi Chen, et al. ∙ 190 ∙ share

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Quantum machine learning with differential privacy

Quantum machine learning (QML) can complement the growing trend of using...
03/10/2021 ∙ by William M Watkins, et al. ∙ 0 ∙ share

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An end-to-end trainable hybrid classical-quantum classifier

We introduce a hybrid model combining a quantum-inspired tensor network ...
02/04/2021 ∙ by Samuel Yen-Chi Chen, et al. ∙ 0 ∙ share

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Hybrid Quantum-Classical Graph Convolutional Network

The high energy physics (HEP) community has a long history of dealing wi...
01/15/2021 ∙ by Samuel Yen-Chi Chen, et al. ∙ 0 ∙ share

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Quantum Convolutional Neural Networks for High Energy Physics Data Analysis

This work presents a quantum convolutional neural network (QCNN) for the...
12/22/2020 ∙ by Samuel Yen-Chi Chen, et al. ∙ 0 ∙ share

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Hybrid quantum-classical classifier based on tensor network and variational quantum circuit

One key step in performing quantum machine learning (QML) on noisy inter...
11/30/2020 ∙ by Samuel Yen-Chi Chen, et al. ∙ 0 ∙ share

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Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

We propose a novel decentralized feature extraction approach in federate...
10/26/2020 ∙ by Chao-Han Huck Yang, et al. ∙ 0 ∙ share

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Quantum Long Short-Term Memory

Long short-term memory (LSTM) is a kind of recurrent neural networks (RN...
09/03/2020 ∙ by Samuel Yen-Chi Chen, et al. ∙ 0 ∙ share

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Adversarial Robustness of Deep Convolutional Candlestick Learner

Deep learning (DL) has been applied extensively in a wide range of field...
05/29/2020 ∙ by Jun-Hao Chen, et al. ∙ 0 ∙ share

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Data Augmentation for Deep Candlestick Learner

To successfully build a deep learning model, it will need a large amount...
05/14/2020 ∙ by Chia-Ying Tsao, et al. ∙ 10 ∙ share

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Explainable Deep Convolutional Candlestick Learner

Candlesticks are graphical representations of price movements for a give...
01/08/2020 ∙ by Jun-Hao Chen, et al. ∙ 54 ∙ share

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Variational Quantum Circuits and Deep Reinforcement Learning

Recently, machine learning has prevailed in many academia and industrial...
06/30/2019 ∙ by Samuel Yen-Chi Chen, et al. ∙ 11 ∙ share

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Samuel Yen-Chi Chen

Featured Co-authors

Chao Zhang

Pin-Yu Chen

Chin-Hui Lee

Chao-Han Huck Yang

Xiaoli Ma

Sabato Marco Siniscalchi

Shinjae Yoo

Jun Qi

Yun-Cheng Tsai

Jun-Hao Chen

Yao-Lung L. Fang

Federated Quantum Machine Learning

Quantum machine learning with differential privacy

An end-to-end trainable hybrid classical-quantum classifier

Hybrid Quantum-Classical Graph Convolutional Network

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis

Hybrid quantum-classical classifier based on tensor network and variational quantum circuit

Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition

Quantum Long Short-Term Memory

Adversarial Robustness of Deep Convolutional Candlestick Learner

Data Augmentation for Deep Candlestick Learner

Explainable Deep Convolutional Candlestick Learner

Variational Quantum Circuits and Deep Reinforcement Learning