97 citations · 382 across the 19 of their papers we have counts for
20 papers
Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm
André J. Ferreira-Martins, Leandro Silva, Alberto Palhares +4
The classification of phases and the detection of phase transitions are central and challenging tasks in diverse fields. Within physics, it relies on the identification of order pa…
Towards accurate real-time luminescence thermometry: an automated machine learning approach
Emanuel P. Santos, Roberta S. Pugina, Eloísa G. Hilário +7
Luminescence thermometry has been extensively exploited in the last decades both from the fundamental and applied point of views. The application of photoluminescent nanoparticles…
Experimental nonclassicality in a causal network without assuming freedom of choice
Emanuele Polino, Davide Poderini, Giovanni Rodari +10
In a Bell experiment, it is natural to seek a causal account of correlations wherein only a common cause acts on the outcomes. For this causal structure, Bell inequality violations…
Experimental genuine tripartite nonlocality in a quantum triangle network
Alessia Suprano, Davide Poderini, Emanuele Polino +6
Quantum networks are the center of many of the recent advances in quantum science, not only leading to the discovery of new properties in the foundations of quantum theory but also…
Inferring galaxy dark halo properties from visible matter with Machine Learning
Rodrigo von Marttens, Luciano Casarini, Nicola R. Napolitano +6
Next-generation surveys will provide photometric and spectroscopic data of millions to billions of galaxies with unprecedented precision. This offers a unique chance to improve our…
Causal Networks and Freedom of Choice in Bell's Theorem
Rafael Chaves, George Moreno, Emanuele Polino +9
Bell's theorem is typically understood as the proof that quantum theory is incompatible with local-hidden-variable models. More generally, we can see the violation of a Bell inequa…
Satellite-based photonic quantum networks are small-world
Samuraí Brito, Askery Canabarro, Daniel Cavalcanti +1
Recent milestone experiments establishing satellite-to-ground quantum communication are paving the way for the development of the quantum internet, a network interconnected by quan…
Probing the reciprocal lattice associated with a triangular slit to determine the orbital angular momentum for a photon
W. C. Soares, A. L. Moura, Askery Canabarro +7
The orbital angular momentum conservation of light reveals different diffraction patterns univocally dependent on the topological charge of the incident light beam when passing thr…
Automated Machine Learning can Classify Bound Entangled States with Tomograms
Caio B. D. Goes, Askery Canabarro, Eduardo I. Duzzioni +1
For quantum systems with a total dimension greater than six, the positive partial transposition (PPT) criterion is sufficient but not necessary to decide the non-separability of qu…
Statistical properties of the quantum internet
Samuraí Brito, Askery Canabarro, Rafael Chaves +1
Steady technological advances are paving the way for the implementation of the quantum internet, a network of locations interconnected by quantum channels. Here we propose a model…
Unveiling phase transitions with machine learning
Askery Canabarro, Felipe Fernandes Fanchini, André Luiz Malvezzi +2
The classification of phase transitions is a central and challenging task in condensed matter physics. Typically, it relies on the identification of order parameters and the analys…
Greenberger-Horne-Zeilinger state generation with linear optical elements
Bertúlio de Lima Bernardo, M. Lencśes, S. Brito +1
We propose a scheme to probabilistically generate Greenberger-Horne-Zeilinger (GHZ) states encoded on the path degree of freedom of three photons. These photons are totally indepen…
Machine learning non-local correlations
Askery Canabarro, Samuraí Brito, Rafael Chaves
The ability to witness non-local correlations lies at the core of foundational aspects of quantum mechanics and its application in the processing of information. Commonly, this is…
Experimental realization of a quantum CNOT gate for orbital angular momentum and polarization with linear optical elements
J. H. Lopes, W. C. Soares, B. L. Bernardo +2
We propose and experimentally demonstrate that a Mach-Zehnder interferometer composed of polarized beam splitters and a pentaprism in the place of one of the mirrors works as a lin…
Near-infrared holographic photorefractive recording under applied electric field in undoped BiTiO sillenite crystal
André L. Moura, Alexsandro F. Pereira, Askery Canabarro +3
Direct holographic recording in undoped BiTiO crystal at 1064 nm is investigated aiming the characterization of diffraction efficiency under action of applied dc elec…
Modulation instability in noninstantaneous Kerr media with walk-off effects and cross-phase modulation for two copropagating beams experiencing anomalous GVD regime
Askery Canabarro, B. Santos, B. de Lima Bernardo
The dynamics of the modulation instability induced by cross phase modulation is studied by considering the influence of the walk-off and noninstantaneous response effects for two c…
A nonlinear delayed model for the immune response in the presence of viral mutation
D. Messias, Iram Gleria, S. S. Albuquerque +2
In this paper we consider a delayed nonlinear model of the dynamics of the immune system against a viral infection that contains wild-type virus and one mutant. A finite response t…
Short term prediction of extreme returns based on the recurrence interval analysis
Zhi-Qiang Jiang, Gang-Jin Wang, Askery Canabarro +4
Being able to predict the occurrence of extreme returns is important in financial risk management. Using the distribution of recurrence intervals---the waiting time between consecu…
How a single particle modifies the physical reality of two distant others simultaneously: a quantum nonlocality and weak value study
Bertúlio de Lima Bernardo, Askery Canabarro, Sérgio Azevedo
The concept of wave-particle duality, which is a key element of quantum theory, has been remarkably found to manifest itself in several experimental realizations as in the famous d…
Early warning of large volatilities based on recurrence interval analysis in Chinese stock markets
Zhi-Qiang Jiang, Askery A. Canabarro, Boris Podobnik +2
Being able to forcast extreme volatility is a central issue in financial risk management. We present a large volatility predicting method based on the distribution of recurrence in…