Born machine model based on matrix product state quantum circuit

An Effective Optimization Method for Machine Learning Based on ADAM

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Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint

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An encrypted coverless information hiding method based on generative models

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A generative modeling approach for benchmarking and training shallow quantum circuits

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Parameterized quantum circuits as machine learning models

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An Efficient Methodology for Mapping Quantum Circuits to the IBM QX Architectures

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Characterizing quantum supremacy in near-term devices

(2018) Sergio Boixo et al.   Nature Physics

Learning hard quantum distributions with variational autoencoders

(2018) Andrea Rocchetto et al.   npj Quantum Information

Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines

(2018) Song Cheng et al.   Entropy

Quantum Machine Learning

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Quantum machine learning

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Quantum inference on Bayesian networks

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Tensor-Train Decomposition

(2011) I. V. Oseledets   SIAM JOURNAL ON SCIENTIFIC COMPUTING

The density-matrix renormalization group in the age of matrix product states

(2010) Ulrich Schollwöck   ANNALS OF PHYSICS

A Survey on Transfer Learning

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