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06/16/2022
Concentration of Data Encoding in Parameterized Quantum Circuits
Variational quantum algorithms have been acknowledged as a leading strat...
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05/11/2022
Quantum Self-Attention Neural Networks for Text Classification
An emerging direction of quantum computing is to establish meaningful qu...
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03/01/2021
A Hybrid Quantum-Classical Hamiltonian Learning Algorithm
Hamiltonian learning is crucial to the certification of quantum devices ...
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12/15/2020
VSQL: Variational Shadow Quantum Learning for Classification
Classification of quantum data is essential for quantum machine learning...
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10/10/2020
Block-term Tensor Neural Networks
Deep neural networks (DNNs) have achieved outstanding performance in a w...
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05/18/2020
Variational quantum Gibbs state preparation with a truncated Taylor series
The preparation of quantum Gibbs state is an essential part of quantum c...
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07/16/2019
Quantum Data Fitting Algorithm for Non-sparse Matrices
We propose a quantum data fitting algorithm for non-sparse matrices, whi...
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12/15/2017
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition
Recently, deep neural networks (DNNs) have been regarded as the state-of...
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12/14/2017
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Recurrent Neural Networks (RNNs) are powerful sequence modeling tools. H...
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11/11/2016
