37 citations · 71 across the 6 of their papers we have counts for
3 papers · 1 filter
Advantages of density in tensor network geometries for gradient based training
Sergi Masot-Llima, Artur Garcia-Saez
Tensor networks are a very powerful data structure tool originating from quantum system simulations. In recent years, they have seen increased use in machine learning, mostly in tr…
Entropy-driven entanglement forging
Axel Pérez-Obiol, Sergi Masot-Llima, Antonio M. Romero +4
Simulating physical systems with variational quantum algorithms is a well-studied approach, but it is challenging to implement in current devices due to demands in qubit number and…
Stabilizer Tensor Networks: universal quantum simulator on a basis of stabilizer states
Sergi Masot-Llima, Artur Garcia-Saez
Efficient simulation of quantum computers relies on understanding and exploiting the properties of quantum states. This is the case for methods such as tensor networks, based on en…