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09/13/2023
Efficient quantum recurrent reinforcement learning via quantum reservoir computing
Quantum reinforcement learning (QRL) has emerged as a framework to solve...
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04/19/2023
Quantum deep Q learning with distributed prioritized experience replay
This paper introduces the QDQN-DPER framework to enhance the efficiency ...
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01/12/2023
Asynchronous training of quantum reinforcement learning
The development of quantum machine learning (QML) has received a lot of ...
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12/22/2022
Decoding surface codes with deep reinforcement learning and probabilistic policy reuse
Quantum computing (QC) promises significant advantages on certain hard c...
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11/04/2022
Reservoir Computing via Quantum Recurrent Neural Networks
Recent developments in quantum computing and machine learning have prope...
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10/26/2022
Quantum deep recurrent reinforcement learning
Recent advances in quantum computing (QC) and machine learning (ML) have...
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02/17/2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
The rapid development of quantum computing has demonstrated many unique ...
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02/03/2022
Financial Vision Based Reinforcement Learning Trading Strategy
Recent advances in artificial intelligence (AI) for quantitative trading...
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12/28/2021
Financial Vision Based Differential Privacy Applications
The importance of deep learning data privacy has gained significant atte...
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12/10/2021
Quantum Architecture Search via Continual Reinforcement Learning
Quantum computing has promised significant improvement in solving diffic...
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10/13/2021
The Dawn of Quantum Natural Language Processing
In this paper, we discuss the initial attempts at boosting understanding...
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09/01/2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization
Recent advance in classical reinforcement learning (RL) and quantum comp...
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04/15/2021
Quantum Architecture Search via Deep Reinforcement Learning
Recent advances in quantum computing have drawn considerable attention t...
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03/22/2021
Federated Quantum Machine Learning
Distributed training across several quantum computers could significantl...
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03/10/2021
Quantum machine learning with differential privacy
Quantum machine learning (QML) can complement the growing trend of using...
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02/04/2021
An end-to-end trainable hybrid classical-quantum classifier
We introduce a hybrid model combining a quantum-inspired tensor network ...
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01/15/2021
Hybrid Quantum-Classical Graph Convolutional Network
The high energy physics (HEP) community has a long history of dealing wi...
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12/22/2020
Quantum Convolutional Neural Networks for High Energy Physics Data Analysis
This work presents a quantum convolutional neural network (QCNN) for the...
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11/30/2020
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit
One key step in performing quantum machine learning (QML) on noisy inter...
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10/26/2020
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition
We propose a novel decentralized feature extraction approach in federate...
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09/03/2020
Quantum Long Short-Term Memory
Long short-term memory (LSTM) is a kind of recurrent neural networks (RN...
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05/29/2020
Adversarial Robustness of Deep Convolutional Candlestick Learner
Deep learning (DL) has been applied extensively in a wide range of field...
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05/14/2020
Data Augmentation for Deep Candlestick Learner
To successfully build a deep learning model, it will need a large amount...
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01/08/2020
Explainable Deep Convolutional Candlestick Learner
Candlesticks are graphical representations of price movements for a give...
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06/30/2019