37 citations · 71 across the 6 of their papers we have counts for
7 papers
Limits of Clifford Disentangling in Tensor Network States
Sergi Masot-Llima, Piotr Sierant, Paolo Stornati +1
Tensor network methods leverage the limited entanglement of quantum states to efficiently simulate many-body systems. Alternatively, Clifford circuits provide a framework for handl…
Prospects for quantum advantage in machine learning from the representability of functions
Sergi Masot-Llima, Elies Gil-Fuster, Carlos Bravo-Prieto +2
Demonstrating quantum advantage in machine learning tasks requires navigating a complex landscape of proposed models and algorithms. To bring clarity to this search, we introduce a…
tn4ml: Tensor Network Training and Customization for Machine Learning
Ema Puljak, Sergio Sanchez-Ramirez, Sergi Masot-Llima +3
Tensor Networks have emerged as a prominent alternative to neural networks for addressing Machine Learning challenges in foundational sciences, paving the way for their application…
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…
Quantum entanglement patterns in the structure of atomic nuclei within the nuclear shell model
A. Pérez-Obiol, S. Masot-Llima, A. M. Romero +4
Quantum entanglement offers a unique perspective into the underlying structure of strongly-correlated systems such as atomic nuclei. In this paper, we use quantum information tools…