323,698 research outputs found
Dal giusnaturalismo alla politica del diritto: Carlo Antonio Pilati e l'Olanda
No full textCarlantonio Pilati was a political thinker, typical freemason and traveller who played an important role as cultural mediator between the United Provinces and Italy. His role and contacts with Dutch and Venetian typographers is revealed through documents at the Biblioteca comunale in Trent, in particular by his correspondence with Christiaan Plaat from Haarlem, which include many suggestions of books to be printed and sold in Italy, especially in the Veneto and Trentino. The same archive possesses letters by Pilati to the typographer and Venetian bookseller Giannantonio Pasquali, that show how books sent by Plaat arrived in Venice through Pilati himself. Pilati lived in the United Provinces for several periods from 1766 onwards, when his work on natural law theory was condemned by the Inquisition. He lived in Rotterdam, Leiden and The Hague, and became close friends with Count Willem Bentinck, the leading Orangist politician and freemason of English rite. During these periods, Pilati published some of his most important works, like the Traité des lois politiques in 1774, the Traité du mariage in 1776, the Voyages en differens pays de l’Europe in 1777, the Lettres sur la Hollande in 1778, the Traité des loix civiles des Romains in 1780 and the Histoire des révolutions in 1782. He also became great friend and editorial advisor to the editor and typographer Christiaan Plaat who published for instance the yearbooks of the Haarlem Society of Sciences and the most important Dutch commentaries on Rousseau's moral-political theory of inequality
Carlantonio Pilati. un intellettuale trentino nell'Europa dei Lumi
No full textIl giurista trentino Carlantonio Pilati (1733-1802) è stato uno dei più attivi protagonisti della cultura europea della seconda metà del Settecento. Autore poliglotta, viaggiatore infaticabile, giurista, storico, giornalista, letterato, uomo dagli interessi molteplici e dalle letture onnivore e disordinate, lettore critico di Montesquieu, rigoroso razionalista, ma anche uomo di forti e spesso violente passioni, al tempo stesso spirito cosmopolita, ma fino agli ultimi anni di vita profondamente legato alla sua terra e alle sue radici trentine, fautore delle riforme, ma al tempo stesso capace di richiamarsi al diritto comune e alle antiche libertà per opporsi alla politica accentratrice dei vescovi-sovrani di Trento, Pilati ci appare oggi una personalità più affascinante proprio perché più complessa e non definitivamente risolta.
Mediatore fra mondo tedesco e mondo italiano e “uomo di confine” sotto tutti gli aspetti, Pilati viene restituito ora ad una dimensione più ricca sulla base delle ricerche di specialisti di varie discipline: dai saggi che compongono il volume emerge infatti un quadro variegato e non privo di sorprese.
Questo volume vuole ricordare a chi è interessato non solo alla storia del proprio paese, ma a quella di un’Europa che con fatica e tenacia si sta progressivamente costruendo – superando barriere, steccati e diffidenze reciproche – che una comune identità può essere conquistata solo a partire da alcuni dei valori e dei principi che animavano il pensiero e l’opera di un uomo come Carlantonio Pilati; attraverso uno scambio intellettuale capace di superare le frontiere geografiche, politiche e religiose, nel segno del cosmopolitismo, ma senza annullare le reciproche differenze
Le «Eccezioni della Comunità di Fiemme contro il nuovo statuto...» (1784) di C.A. Pilati: riforme illuministiche e difesa della tradizione giuridica nel ’700 trentino
No full textCarlo Antonio Pilati è uno dei più noti illuministi italiani; dopo aver viaggiato in tutta Europa, l'ultima parte della sua vita è trascorsa nel natio Trentino, dove ha esercitato la professione di avvocato. In tale veste egli difese la Comunità della valle di Fiemme contro le pretese del principe vescovo di Trento di sostituire d'autorità le consuetudini scritte, da secoli in vigore nella valle, con un nuovo testo redatto a Trento. Le argomentazioni del Pilati, sostenute con successo davanti al tribunale imperiale, recuperano le teorie del Montesquieu adattandole alla difesa della tradizione giuridica di antico regime contro le tendenze accentratrici del dispotismo illuminato, che sul piano delle fonti del diritto assume le vesti di una sistematica politica di adozione di nuovi testi di legge varati dal sovrano
Phase separation in a polarized fermi gas at zero temperature
No full textWe investigate the phase diagram of asymmetric two-component Fermi gases at zero temperature as a function of polarization and interaction strength. The equations of state of the uniform superfluid and normal phase are determined using quantum Monte Carlo simulations. We find three different mixed states, where the superfluid and the normal phase coexist in equilibrium, corresponding to phase separation between (a) the polarized superfluid and the fully polarized normal gas, (b) the polarized superfluid and the partially polarized normal gas, and (c) the unpolarized superfluid and the partially polarized normal gas. © 2008 The American Physical Society
Simulating disordered quantum Ising chains via dense and sparse restricted Boltzmann machines
No full textIn recent years, generative artificial neural networks based on restricted Boltzmann machines (RBMs) have been successfully employed as accurate and flexible variational wave functions for clean quantum many-body systems. In this article, we explore their use in simulations of disordered quantum Ising chains. The standard dense RBM with all-to-all interlayer connectivity is not particularly appropriate for large disordered systems, since in such systems one cannot exploit translational invariance to reduce the amount of parameters to be optimized. To circumvent this problem, we implement sparse RBMs, whereby the visible spins are connected only to a subset of local hidden neurons, thus reducing the amount of parameters. We assess the performance of sparse RBMs as a function of the range of the allowed connections, and we compare it with that of dense RBMs. Benchmark results are provided for two sign-problem-free Hamiltonians, namely pure and random quantum Ising chains. The RBM Ansätzes are trained using the unsupervised learning scheme based on projective quantum Monte Carlo (PQMC) algorithms. We find that the sparse connectivity facilitates the training process and allows sparse RBMs to outperform their dense counterparts. Furthermore, the use of sparse RBMs as guiding functions for PQMC simulations allows us to perform PQMC simulations at a reduced computational cost, avoiding possible biases due to finite random-walker populations. We obtain unbiased predictions for the ground-state energies and the magnetization profiles with fixed boundary conditions, at the ferromagnetic quantum critical point. The magnetization profiles agree with the Fisher-de Gennes scaling relation for conformally invariant systems, including the scaling dimension predicted by the renormalization-group analysis
Correction to: Comparing engagement by migrants in domestic and in country‑of‑origin political activities across European cities
No full textThe article Comparing engagement by migrants in domestic and in country-of-origin political activities across European cities, written by Katia Pilati and Barbara Herman, was originally published electronically on the publisher’s internet portal on 16 July 2018 without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on 21 November 2019 to © The Author(s) 2018 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The original article has been corrected.SCOPUS: er.jinfo:eu-repo/semantics/publishe
Quantum Monte Carlo simulations of two-dimensional repulsive Fermi gases with population imbalance
No full textThe ground-state properties of two-component repulsive Fermi gases in two dimensions are investigated by means of fixed-node diffusion Monte Carlo simulations. The energy per particle is determined as a function of the intercomponent interaction strength and of the population imbalance. The regime of universality in terms of the s-wave scattering length is identified by comparing results for hard-disk and for soft-disk potentials. In the large imbalance regime, the equation of state turns out to be well described by a Landau-Pomeranchuk functional for two-dimensional polarons. To fully characterize this expansion, we determine the polarons' effective mass and their coupling parameter, complementing previous studies on their chemical potential. Furthermore, we extract the magnetic susceptibility from low-imbalance data, finding only small deviations from the mean-field prediction. While the mean-field theory predicts a direct transition from a paramagnetic to a fully ferromagnetic phase, our diffusion Monte Carlo results suggest that the partially ferromagnetic phase is stable in a narrow interval of the interaction parameter. This finding calls for further analyses on the effects due to the fixed-node constraint
Di una riforma d'Italia, ossia, Dei mezzi di riformare i piu cattivi costumi e le piu perniciose leggi d'Italia
No full text[Carlantonio Pilati]Verfasser gemäss Venturi: Settecento riformatore, v. 2., S. 250. Tatsächlich in Chur bei der Typographischen Gesellschaft gedruckt, siehe Venturi, S. 261
Supervised machine learning of ultracold atoms with speckle disorder
No full textWe analyze how accurately supervised machine learning techniques can predict the lowest energy levels of one-dimensional noninteracting ultracold atoms subject to the correlated disorder due to an optical speckle field. Deep neural networks with different numbers of hidden layers and neurons per layer are trained on large sets of instances of the speckle field, whose energy levels have been preventively determined via a high-order finite difference technique. The Fourier components of the speckle field are used as the feature vector to represent the speckle-field instances. A comprehensive analysis of the details that determine the possible success of supervised machine learning tasks, namely the depth and the width of the neural network, the size of the training set, and the magnitude of the regularization parameter, is presented. It is found that ground state energies of previously unseen instances can be predicted with an essentially negligible error given a computationally feasible number of training instances. First and second excited state energies can be predicted too, albeit with slightly lower accuracy and using more layers of hidden neurons. We also find that a three-layer neural network is remarkably resilient to Gaussian noise added to the training-set data (up to 10% noise level), suggesting that cold-atom quantum simulators could be used to train artificial neural networks
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