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Quantum State Tomography

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Showing 1–45 of 45 papers

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
Quantum State Tomography using Quantum Machine Learning—0
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices—0
Provably convergent acceleration in factored gradient descent with applications in matrix sensing—0
ShadowNet for Data-Centric Quantum System Learning—0
Stabiliser states are efficiently PAC-learnable—0
Adaptive Quantum State Tomography with Neural Networks—0
Transforming Bell's Inequalities into State Classifiers with Machine Learning—0
Universal low-rank matrix recovery from Pauli measurements—0
Universal Quantum Tomography With Deep Neural Networks—0
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography—0
The local convexity of solving systems of quadratic equations—0
Adversarial quantum circuit learning for pure state approximation—0
Maximum-Likelihood Quantum State Tomography by Soft-Bayes—0
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients—0
Tomography of Quantum States from Structured Measurements via quantum-aware transformer—0
Classical Shadows With Noise—0
Comprehensive characterization of three-qubit Grover search algorithm on IBM's 127-qubit superconducting quantum computers—0
Demonstration of machine-learning-enhanced Bayesian quantum state estimation—0
Efficient Quantum State Sample Tomography with Basis-dependent Neural-networks—0
Estimation of low rank density matrices by Pauli measurements—0
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