Search Results for author: Samuel Yen-Chi Chen

Found 34 papers, 8 papers with code

Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits

no code implementations2 Jun 2024 Hoang-Quan Nguyen, Xuan Bac Nguyen, Samuel Yen-Chi Chen, Hugh Churchill, Nicholas Borys, Samee U. Khan, Khoa Luu

Parameterized Quantum Circuits (PQCs) have been acknowledged as a leading strategy to utilize near-term quantum advantages in multiple problems, including machine learning and combinatorial optimization.

Combinatorial Optimization

QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering

no code implementations30 May 2024 Xuan-Bac Nguyen, Hoang-Quan Nguyen, Samuel Yen-Chi Chen, Samee U. Khan, Hugh Churchill, Khoa Luu

In addition, we present QClusformer, a variant based on the Transformer architecture, tailored for unsupervised vision clustering tasks.


Learning to Program Variational Quantum Circuits with Fast Weights

no code implementations27 Feb 2024 Samuel Yen-Chi Chen

This paper introduces the Quantum Fast Weight Programmers (QFWP) as a solution to the temporal or sequential learning challenge.

Quantum Machine Learning Reinforcement Learning (RL) +2

A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity

no code implementations23 Feb 2024 Ryan L'Abbate, Anthony D'Onofrio Jr., Samuel Stein, Samuel Yen-Chi Chen, Ang Li, Pin-Yu Chen, Juntao Chen, Ying Mao

In this study, we concentrate on quantum deep learning and introduce a collaborative classical-quantum architecture called co-TenQu.

Federated Quantum Long Short-term Memory (FedQLSTM)

no code implementations21 Dec 2023 Mahdi Chehimi, Samuel Yen-Chi Chen, Walid Saad, Shinjae Yoo

The proposed federated QLSTM (FedQLSTM) framework is exploited for performing the task of function approximation.

Federated Learning Quantum Machine Learning

Federated Quantum Machine Learning with Differential Privacy

no code implementations10 Oct 2023 Rod Rofougaran, Shinjae Yoo, Huan-Hsin Tseng, Samuel Yen-Chi Chen

The preservation of privacy is a critical concern in the implementation of artificial intelligence on sensitive training data.

Binary Classification Federated Learning +2

Efficient quantum recurrent reinforcement learning via quantum reservoir computing

no code implementations13 Sep 2023 Samuel Yen-Chi Chen

Quantum reinforcement learning (QRL) has emerged as a framework to solve sequential decision-making tasks, showcasing empirical quantum advantages.

Decision Making reinforcement-learning

Quantum deep Q learning with distributed prioritized experience replay

no code implementations19 Apr 2023 Samuel Yen-Chi Chen

This paper introduces the QDQN-DPER framework to enhance the efficiency of quantum reinforcement learning (QRL) in solving sequential decision tasks.

Q-Learning reinforcement-learning

Decoding surface codes with deep reinforcement learning and probabilistic policy reuse

no code implementations22 Dec 2022 Elisha Siddiqui Matekole, Esther Ye, Ramya Iyer, Samuel Yen-Chi Chen

A significant amount of theoretical studies have provided various types of QEC codes; one of the notable topological codes is the surface code, and its features, such as the requirement of only nearest-neighboring two-qubit control gates and a large error threshold, make it a leading candidate for scalable quantum computation.

Q-Learning reinforcement-learning +1

Reservoir Computing via Quantum Recurrent Neural Networks

no code implementations4 Nov 2022 Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh, Vladimir Rastunkov, Charlee Stefanski

In this work, we approach sequential modeling by applying a reservoir computing (RC) framework to quantum recurrent neural networks (QRNN-RC) that are based on classical RNN, LSTM and GRU.

Quantum Machine Learning Time Series Prediction

Quantum deep recurrent reinforcement learning

no code implementations26 Oct 2022 Samuel Yen-Chi Chen

Reinforcement learning (RL) is one of the ML paradigms which can be used to solve complex sequential decision making problems.

Decision Making Q-Learning +3

When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing

no code implementations17 Feb 2022 Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Yu Tsao, Pin-Yu Chen

Our experiments on intent classification show that our proposed BERT-QTC model attains competitive experimental results in the Snips and ATIS spoken language datasets.

Decoder intent-classification +5

Financial Vision Based Differential Privacy Applications

no code implementations28 Dec 2021 Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai, Samuel Yen-Chi Chen

We apply two representative deep learning privacy-privacy frameworks proposed by Google to financial trading data.

Quantum Architecture Search via Continual Reinforcement Learning

no code implementations10 Dec 2021 Esther Ye, Samuel Yen-Chi Chen

To aid this endeavor, this paper proposes a machine learning-based method to construct quantum circuit architectures.

Continual Learning Q-Learning +2

The Dawn of Quantum Natural Language Processing

2 code implementations13 Oct 2021 Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen, Stefano Mangini, Marcel Worring

In this paper, we discuss the initial attempts at boosting understanding human language based on deep-learning models with quantum computing.

Sentiment Analysis

Variational Quantum Reinforcement Learning via Evolutionary Optimization

no code implementations1 Sep 2021 Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao

Recent advance in classical reinforcement learning (RL) and quantum computation (QC) points to a promising direction of performing RL on a quantum computer.

reinforcement-learning Reinforcement Learning (RL)

Quantum Architecture Search via Deep Reinforcement Learning

1 code implementation15 Apr 2021 En-Jui Kuo, Yao-Lung L. Fang, Samuel Yen-Chi Chen

Recent advances in quantum computing have drawn considerable attention to building realistic application for and using quantum computers.

reinforcement-learning Reinforcement Learning (RL)

Federated Quantum Machine Learning

no code implementations22 Mar 2021 Samuel Yen-Chi Chen, Shinjae Yoo

Distributed training across several quantum computers could significantly improve the training time and if we could share the learned model, not the data, it could potentially improve the data privacy as the training would happen where the data is located.

BIG-bench Machine Learning Federated Learning +1

Quantum machine learning with differential privacy

no code implementations10 Mar 2021 William M Watkins, Samuel Yen-Chi Chen, Shinjae Yoo

In this study, we develop a hybrid quantum-classical model that is trained to preserve privacy using differentially private optimization algorithm.

BIG-bench Machine Learning General Classification +2

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

no code implementations4 Feb 2021 Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao

We introduce a hybrid model combining a quantum-inspired tensor network and a variational quantum circuit to perform supervised learning tasks.

Tensor Networks

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

no code implementations30 Nov 2020 Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao

One key step in performing quantum machine learning (QML) on noisy intermediate-scale quantum (NISQ) devices is the dimension reduction of the input data prior to their encoding.

Binary Classification Dimensionality Reduction +2

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

2 code implementations26 Oct 2020 Chao-Han Huck Yang, Jun Qi, Samuel Yen-Chi Chen, Pin-Yu Chen, Sabato Marco Siniscalchi, Xiaoli Ma, Chin-Hui Lee

Testing on the Google Speech Commands Dataset, the proposed QCNN encoder attains a competitive accuracy of 95. 12% in a decentralized model, which is better than the previous architectures using centralized RNN models with convolutional features.

 Ranked #1 on Keyword Spotting on Google Speech Commands (10-keyword Speech Commands dataset metric)

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Quantum Long Short-Term Memory

no code implementations3 Sep 2020 Samuel Yen-Chi Chen, Shinjae Yoo, Yao-Lung L. Fang

Long short-term memory (LSTM) is a kind of recurrent neural networks (RNN) for sequence and temporal dependency data modeling and its effectiveness has been extensively established.

Data Augmentation for Deep Candlestick Learner

2 code implementations14 May 2020 Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai

To successfully build a deep learning model, it will need a large amount of labeled data.

Data Augmentation

Variational Quantum Circuits for Deep Reinforcement Learning

1 code implementation30 Jun 2019 Samuel Yen-Chi Chen, Chao-Han Huck Yang, Jun Qi, Pin-Yu Chen, Xiaoli Ma, Hsi-Sheng Goan

To the best of our knowledge, this work is the first proof-of-principle demonstration of variational quantum circuits to approximate the deep $Q$-value function for decision-making and policy-selection reinforcement learning with experience replay and target network.

BIG-bench Machine Learning Decision Making +3

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