| The local convexity of solving systems of quadratic equations | Jun 25, 2015 | Quantum State Tomography | —Unverified | 0 |
| Transforming Bell's Inequalities into State Classifiers with Machine Learning | May 2, 2017 | BIG-bench Machine LearningQuantum State Tomography | —Unverified | 0 |
| Universal low-rank matrix recovery from Pauli measurements | Dec 1, 2011 | compressed sensingGaussian Processes | —Unverified | 0 |
| Universal Quantum Tomography With Deep Neural Networks | Jul 1, 2024 | Generative Adversarial NetworkQuantum State Tomography | —Unverified | 0 |
| Unrolling SVT to obtain computationally efficient SVT for n-qubit quantum state tomography | Dec 17, 2022 | Compressive SensingQuantum State Tomography | —Unverified | 0 |
| Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography | Mar 22, 2022 | Quantum State Tomography | —Unverified | 0 |
| Machine learning assisted quantum state estimation | Mar 6, 2020 | BIG-bench Machine LearningQuantum State Tomography | —Unverified | 0 |
| Methods for Sparse and Low-Rank Recovery under Simplex Constraints | May 2, 2016 | compressed sensingDensity Estimation | —Unverified | 0 |
| Neural network state estimation for full quantum state tomography | Nov 16, 2018 | BIG-bench Machine LearningQuantum State Tomography | —Unverified | 0 |
| Nonconvex Matrix Factorization from Rank-One Measurements | Feb 17, 2018 | Polynomial Neural NetworksQuantum State Tomography | —Unverified | 0 |
