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Quantum State Tomography

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Showing 1–45 of 45 papers

TitleStatusHype
Online Learning of Pure States is as Hard as Mixed States—0
Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent—0
Universal Quantum Tomography With Deep Neural Networks—0
Learning pure quantum states (almost) without regret—0
Comprehensive characterization of three-qubit Grover search algorithm on IBM's 127-qubit superconducting quantum computers—0
Online Learning Quantum States with the Logarithmic Loss via VB-FTRL—0
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual AveragingCode0
Learning quantum states and unitaries of bounded gate complexityCode0
Learning Informative Latent Representation for Quantum State Tomography—0
ShadowNet for Data-Centric Quantum System Learning—0
Quantum State Tomography using Quantum Machine Learning—0
MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classificationCode0
Tomography of Quantum States from Structured Measurements via quantum-aware transformer—0
Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography—0
Demonstration of machine-learning-enhanced Bayesian quantum state estimation—0
Faster Stochastic First-Order Method for Maximum-Likelihood Quantum State TomographyCode0
Quantum Split Neural Network Learning using Cross-Channel Pooling—0
Granger Causality for Compressively Sensed Sparse Signals—0
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography—0
NetKet 3: Machine Learning Toolbox for Many-Body Quantum SystemsCode1
Improving application performance with biased distributions of quantum states—0
Maximum-Likelihood Quantum State Tomography by Soft-Bayes—0
Classification and reconstruction of optical quantum states with deep neural networksCode1
Classical Shadows With Noise—0
Efficient Quantum State Sample Tomography with Basis-dependent Neural-networks—0
Quantum State Tomography with Conditional Generative Adversarial NetworksCode1
Machine learning assisted quantum state estimation—0
Self-Concordant Analysis of Frank-Wolfe AlgorithmsCode0
Self-concordant analysis of Frank-Wolfe algorithmCode0
Variational Quantum Circuits for Quantum State TomographyCode0
Adaptive Quantum State Tomography with Neural Networks—0
Neural network state estimation for full quantum state tomography—0
Adversarial quantum circuit learning for pure state approximation—0
Provably convergent acceleration in factored gradient descent with applications in matrix sensing—0
Nonconvex Matrix Factorization from Rank-One Measurements—0
Transforming Bell's Inequalities into State Classifiers with Machine Learning—0
Stabiliser states are efficiently PAC-learnable—0
Estimation of low rank density matrices by Pauli measurements—0
Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems—0
Methods for Sparse and Low-Rank Recovery under Simplex Constraints—0
Optimal Estimation of Low Rank Density Matrices—0
The local convexity of solving systems of quadratic equations—0
Regularization-free estimation in trace regression with symmetric positive semidefinite matrices—0
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients—0
Universal low-rank matrix recovery from Pauli measurements—0
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