4 citations · 4 across the 1 of their papers we have counts for
2 papers
quant-ph2022★ 4 cited
Parameterizing density operators with arbitrary symmetries to gain advantage in quantum state estimation
Inés Corte, Marcelo Losada, Diego Tielas +2
In this work, we show how to parameterize a density matrix that has an arbitrary symmetry, knowing the generators of the Lie algebra (if the symmetry group is a connected Lie group…
physics.comp-ph2020
Exploring neural network training strategies to determine phase transitions in frustrated magnetic models
I. Corte, S. Acevedo, M. Arlego +1
The transfer learning of a neural network is one of its most outstanding aspects and has given supervised learning with neural networks a prominent place in data science. Here we e…