
Nonparametric Active Learning and Rate Reduction in Manybody Hilbert Space with Rescaled Logarithmic Fidelity
In quantum and quantuminspired machine learning, the very first step is...
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Predicting Quantum Potentials by Deep Neural Network and Metropolis Sampling
The hybridizations of machine learning and quantum physics have caused e...
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Preparation of Manybody Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions
State preparation is of fundamental importance in quantum physics, which...
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Automatically Differentiable Quantum Circuit for Manyqubit State Preparation
Constructing quantum circuits for efficient state preparation belongs to...
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Residual Matrix Product State for Machine Learning
Tensor network (TN), which originates from quantum physics, shows broad ...
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Deep neural network predicts parameters of quantum manybody Hamiltonians by learning visualized wavefunctions
In the past decades, methods to solve the ground state given a quantum m...
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TangentSpace Gradient Optimization of Tensor Network for Machine Learning
The gradientbased optimization method for deep machine learning models ...
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Bayesian Tensor Network and Optimization Algorithm for Probabilistic Machine Learning
Describing or calculating the conditional probabilities of multiple even...
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Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine Learning
It is known that describing or calculating the conditional probabilities...
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Quantum Compressed Sensing with Unsupervised Tensor Network Machine Learning
We propose tensornetwork compressed sensing (TNCS) for compressing and ...
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Generative Tensor Network Classification Model for Supervised Machine Learning
Tensor network (TN) has recently triggered extensive interests in develo...
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Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition
It is a fundamental, but still elusive question whether methods based on...
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Machine Learning by TwoDimensional Hierarchical Tensor Networks: A Quantum Information Theoretic Perspective on Deep Architectures
The resemblance between the methods used in studying quantummany body p...
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ShiJu Ran
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