no code implementations • 22 Oct 2023 • Przemysław R. Grzybowski, Antoni Jankiewicz, Eloy Piñol, David Cirauqui, Dorota H. Grzybowska, Paweł M. Petrykowski, Miguel Ángel García-March, Maciej Lewenstein, Gorka Muñoz-Gil, Alejandro Pozas-Kerstjens
It is widely known that Boltzmann machines are capable of representing arbitrary probability distributions over the values of their visible neurons, given enough hidden ones.
1 code implementation • 14 Jun 2023 • José Ramón Pareja Monturiol, David Pérez-García, Alejandro Pozas-Kerstjens
Tensor networks are factorizations of high-dimensional tensors into networks of smaller tensors.
no code implementations • 23 Oct 2022 • Sonia Lopez Alarcon, Cory Merkel, Martin Hoffnagle, Sabrina Ly, Alejandro Pozas-Kerstjens
The solution is encoded in superposition at the output of a quantum circuit.
1 code implementation • 24 Feb 2022 • Alejandro Pozas-Kerstjens, Senaida Hernández-Santana, José Ramón Pareja Monturiol, Marco Castrillón López, Giannicola Scarpa, Carlos E. González-Guillén, David Pérez-García
Tensor networks, widely used for providing efficient representations of low-energy states of local quantum many-body systems, have been recently proposed as machine learning architectures which could present advantages with respect to traditional ones.
no code implementations • 21 Dec 2020 • Aidan Kehoe, Peter Wittek, Yanbo Xue, Alejandro Pozas-Kerstjens
We find improvements ranging from 5% to 72% against attacks with Boltzmann machines on the MNIST dataset.
1 code implementation • 3 Oct 2019 • Alejandro Pozas-Kerstjens, Gorka Muñoz-Gil, Eloy Piñol, Miguel Ángel García-March, Antonio Acín, Maciej Lewenstein, Przemysław R. Grzybowski
We introduce a new family of energy-based probabilistic graphical models for efficient unsupervised learning.
no code implementations • 23 Sep 2019 • Elie Wolfe, Alejandro Pozas-Kerstjens, Matan Grinberg, Denis Rosset, Antonio Acín, Miguel Navascues
Causality is a seminal concept in science: Any research discipline, from sociology and medicine to physics and chemistry, aims at understanding the causes that could explain the correlations observed among some measured variables.
1 code implementation • 18 Apr 2019 • Alejandro Pozas-Kerstjens, Rafael Rabelo, Łukasz Rudnicki, Rafael Chaves, Daniel Cavalcanti, Miguel Navascues, Antonio Acín
We present a method that allows the study of classical and quantum correlations in networks with causally-independent parties, such as the scenario underlying entanglement swapping.
Quantum Physics
2 code implementations • 29 Jun 2018 • Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek
Furthermore, we demonstrate the execution of the algorithm on contemporary quantum computers and analyze its robustness with respect to realistic noise models.
1 code implementation • 21 Aug 2017 • Alejandro Pozas-Kerstjens, Eric G. Brown, Karen V. Hovhannisyan
We study a driven harmonic oscillator operating an Otto cycle between two thermal baths of finite size.
Quantum Physics Statistical Mechanics