| Adaptive Quantum State Tomography with Neural Networks | Dec 17, 2018 | Quantum State Tomography | —Unverified | 0 |
| Neural network state estimation for full quantum state tomography | Nov 16, 2018 | BIG-bench Machine LearningQuantum State Tomography | —Unverified | 0 |
| Adversarial quantum circuit learning for pure state approximation | Jun 1, 2018 | Quantum State Tomography | —Unverified | 0 |
| Provably convergent acceleration in factored gradient descent with applications in matrix sensing | Jun 1, 2018 | Quantum State Tomography | —Unverified | 0 |
| Nonconvex Matrix Factorization from Rank-One Measurements | Feb 17, 2018 | Polynomial Neural NetworksQuantum 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 |
| Stabiliser states are efficiently PAC-learnable | Apr 30, 2017 | Learning TheoryQuantum State Tomography | —Unverified | 0 |
| Estimation of low rank density matrices by Pauli measurements | Oct 16, 2016 | Quantum State Tomography | —Unverified | 0 |
| Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems | Jun 4, 2016 | LEMMAQuantum State Tomography | —Unverified | 0 |
| Methods for Sparse and Low-Rank Recovery under Simplex Constraints | May 2, 2016 | compressed sensingDensity Estimation | —Unverified | 0 |
