Zobrazeno 1 - 10
of 102
pro vyhledávání: '"García-March, Miguel A."'
Autor:
Anh-Tai, Tran Duong, Fogarty, Thomás, de María-García, Sergi, Busch, Thomas, García-March, Miguel A.
We theoretically demonstrate the feasibility of creating Bell states in multi-component ultra-cold atomic gases by solely using the ability to control the inter-particle interactions via Feshbach resonances. For this we consider two distinguishable i
Externí odkaz:
http://arxiv.org/abs/2406.06966
Autor:
Piñol, Eloy, Mavrogordatos, Th. K., Keys, Dustin, Veyron, Romain, Sierant, Piotr, García-March, Miguel Angel, Grandi, Samuele, Mitchell, Morgan W., Wehr, Jan, Lewenstein, Maciej
The Gorini-Kossakowski-Sudarshan-Lindblad master equation (ME) governs the density matrix of open quantum systems (OQSs). When an OQS is subjected to weak continuous measurement, its state evolves as a stochastic quantum trajectory, whose statistical
Externí odkaz:
http://arxiv.org/abs/2312.03452
Autor:
Grzybowski, Przemysław R., Jankiewicz, Antoni, Piñol, Eloy, Cirauqui, David, Grzybowska, Dorota H., Petrykowski, Paweł M., García-March, Miguel Ángel, Lewenstein, Maciej, Muñoz-Gil, Gorka, Pozas-Kerstjens, Alejandro
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. However, sampling -- and thus training -- these models can be numerically h
Externí odkaz:
http://arxiv.org/abs/2310.14395
We investigate the Ising and Heisenberg models using the Block Renormalization Group Method (BRGM), focusing on its behavior across different system sizes. The BRGM reduces the number of spins by a factor of 1/2 (1/3) for the Ising (Heisenberg) model
Externí odkaz:
http://arxiv.org/abs/2308.01545
Autor:
Cirauqui, David, García-March, Miguel Ángel, Saavedra, José Ramón Martínez, Lewenstein, Maciej, Grzybowski, Przemysław R.
Population Annealing, one of the currently state-of-the-art algorithms for solving spin-glass systems, sometimes finds hard disorder instances for which its equilibration quality at each temperature step is severely damaged. In such cases one can the
Externí odkaz:
http://arxiv.org/abs/2307.16087
Autor:
Manzo, Carlo, Muñoz-Gil, Gorka, Volpe, Giovanni, Garcia-March, Miguel Angel, Lewenstein, Maciej, Metzler, Ralf
Preface to the special issue "Characterisation of Physical Processes from Anomalous Diffusion Data" associated with the Anomalous Diffusion Challenge ( https://andi-challenge.org ) and published in Journal of Physics A: Mathematical and Theoretical.
Externí odkaz:
http://arxiv.org/abs/2301.00800
The results of the Anomalous Diffusion Challenge (AnDi Challenge) have shown that machine learning methods can outperform classical statistical methodology at the characterization of anomalous diffusion in both the inference of the anomalous diffusio
Externí odkaz:
http://arxiv.org/abs/2210.04959
Autor:
Cirauqui, David, García-March, Miguel Ángel, Corominas, Guillem Guigó, Graß, Tobias, Grzybowski, Przemysław R., Muñoz-Gil, Gorka, Saavedra, J. R. M., Lewenstein, Maciej
We discuss the current state of the art of Quantum Random Number Generators (QRNG) and their possible applications in the search for quantum advantages. To this aim, we first discuss a possible way of benchmarking QRNG by applying them to the computa
Externí odkaz:
http://arxiv.org/abs/2206.05328
Autor:
Lewenstein, Maciej, Cirauqui, David, Garcia-March, Miguel Angel, Corominas, Guillem Guigo i, Grzybowski, Przemyslaw, Saavedra, Jose R. M., Wilkens, Martin, Wehr, Jan
We revisit the Haake-Lewenstein-Wilkens (HLW) approach to Edwards-Anderson (EA) model of Ising spin glass [Phys. Rev. Lett. 55, 2606 (1985)]. This approach consists in evaluation and analysis of the probability distribution of configurations of two r
Externí odkaz:
http://arxiv.org/abs/2203.02914
Publikováno v:
Phys. Rev. C 106, 024002 (2022)
In this work, we show that the eigenvalue continuation approach introduced recently in [Phys. Rev. Lett. {\bf 121}, 032501 (2018)], despite its many advantages, has some fundamental limitations which cannot be overcome when strongly correlated many-b
Externí odkaz:
http://arxiv.org/abs/2202.07493