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Quantum State Tomography

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TitleStatusHype
NetKet 3: Machine Learning Toolbox for Many-Body Quantum SystemsCode1
Classification and reconstruction of optical quantum states with deep neural networksCode1
Quantum State Tomography with Conditional Generative Adversarial NetworksCode1
Learning quantum states and unitaries of bounded gate complexityCode0
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State TomographyCode0
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual AveragingCode0
Self-Concordant Analysis of Frank-Wolfe AlgorithmsCode0
Variational Quantum Circuits for Quantum State TomographyCode0
Self-concordant analysis of Frank-Wolfe algorithmCode0
MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classificationCode0
Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent—0
Granger Causality for Compressively Sensed Sparse Signals—0
Improving application performance with biased distributions of quantum states—0
Learning Informative Latent Representation for Quantum State Tomography—0
Learning pure quantum states (almost) without regret—0
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography—0
Machine learning assisted quantum state estimation—0
Methods for Sparse and Low-Rank Recovery under Simplex Constraints—0
Neural network state estimation for full quantum state tomography—0
Nonconvex Matrix Factorization from Rank-One Measurements—0
Online Learning of Pure States is as Hard as Mixed States—0
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL—0
Optimal Estimation of Low Rank Density Matrices—0
Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems—0
Quantum Split Neural Network Learning using Cross-Channel Pooling—0
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