2 papers
quant-ph2024
Machine Learning approach to reconstruct Density Matrices from Quantum Marginals
Daniel Uzcategui-Contreras, Antonio Guerra, Sebastian Niklitschek +1
In this work, we propose a machine learning-based approach to address a specific aspect of the Quantum Marginal Problem: reconstructing a global density matrix compatible with a gi…
quant-ph2020
Mean-squared-error-based adaptive estimation of pure quantum states and unitary transformations
A. Rojas, L. Pereira, S. Niklitschek +1
In this article we propose a method to estimate with high accuracy pure quantum states of a single qudit. Our method is based on the minimization of the squared error between the c…