4,554 research outputs found

    Machine learning approach for quantum non-Markovian noise classification

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    In this paper, machine learning and artificial neural network models are proposed for quantum noise classification in stochastic quantum dynamics. For this purpose, we train and then validate support vector machine, multi-layer perceptron and recurrent neural network, models with different complexity and accuracy, to solve supervised binary classification problems. By exploiting the quantum random walk formalism, we demonstrate the high efficacy of such tools in classifying noisy quantum dynamics using data sets collected in a single realisation of the quantum system evolution. In addition, we also show that for a successful classification one just needs to measure, in a sequence of discrete time instants, the probabilities that the analysed quantum system is in one of the allowed positions or energy configurations, without any external driving. Thus, neither measurements of quantum coherences nor sequences of control pulses are required. Since in principle the training of the machine learning models can be performed a-priori on synthetic data, our approach is expected to find direct application in a vast number of experimental schemes and also for the noise benchmarking of the already available noisy intermediate-scale quantum devices.Comment: 14 pages, 3 figures, 3 table

    Dark Radiation and Inflationary Freedom after Planck 2015

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    The simplest inflationary models predict a primordial power spectrum (PPS) of the curvature fluctuations that can be described by a power-law function that is nearly scale-invariant. It has been shown, however, that the low-multipole spectrum of the CMB anisotropies may hint the presence of some features in the shape of the scalar PPS, which could deviate from its canonical power-law form. We study the possible degeneracies of this non-standard PPS with the neutrino anisotropies, the neutrino masses, the effective number of relativistic species and a sterile neutrino or a thermal axion mass. The limits on these additional parameters are less constraining in a model with a non-standard PPS when only including the temperature auto-correlation spectrum measurements in the data analyses. The inclusion of the polarization spectra noticeably helps in reducing the degeneracies, leading to results that typically show no deviation from the Λ\LambdaCDM model with a standard power-law PPS.Comment: 22 pages, 17 figures, 11 tables. Updated to match the published version. Text abridged upon the referee's request

    Properties of Mixing BV vector fields

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    We consider the density properties of divergence-free vector fields bL1([0,1],BV([0,1]2)) b \in L^1([0,1],\textit{BV}([0,1]^2)) which are ergodic/weakly mixing/strongly mixing: this means that their Regular Lagrangian Flow XtX_t is an ergodic/weakly mixing/strongly mixing measure preserving map when evaluated at t=1t=1. Our main result is that there exists a GδG_\delta-set ULt,x1([0,1]3)\mathcal U \subset L^1_{t,x}([0,1]^3) made of divergence-free vector fields such that 1)1) the map Φ\Phi associating bb with its RLF XtX_t can be extended as a continuous function to the GδG_\delta-set U\mathcal{U}; 2)2) ergodic vector fields bb are a residual GδG_\delta-set in U\mathcal{U}; 3)3) weakly mixing vector fields bb are a residual GδG_\delta-set in U\mathcal{U}; 4)4) strongly mixing vector fields bb are a first category set in U\mathcal{U}; 5)5) exponentially (fast) mixing vector fields are a dense subset of U\mathcal{U}. The proof of these results is based on the density of BV vector fields such that Xt=1X_{t=1} is a permutation of subsquares, and suitable perturbations of this flow to achieve the desired ergodic/mixing behavior. These approximation results have an interest of their own. A discussion on the extension of these results to d3d \geq 3 is also presented.Comment: 47 page

    Noise fingerprints in quantum computers: Machine learning software tools

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    In this paper we present the high-level functionalities of a quantum-classical machine learning software, whose purpose is to learn the main features (the fingerprint) of quantum noise sources affecting a quantum device, as a quantum computer. Specifically, the software architecture is designed to classify successfully (more than 99% of accuracy) the noise fingerprints in different quantum devices with similar technical specifications, or distinct time-dependences of a noise fingerprint in single quantum machines.Comment: 9 pages, 2 figure

    Observing relationships between lightning and cloud profiles by means of a satellite-borne cloud radar

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    Abstract. Cloud electrification and related lightning activity in thunderstorms have their origin in the charge separation and resulting distribution of charged iced particles within the cloud. So far, the ice distribution within convective clouds has been investigated mainly by means of ground-based meteorological radars. In this paper we show how the products from Cloud Profiling Radar (CPR) on board CloudSat, a polar satellite of NASA's Earth System Science Pathfinder (ESSP), can be used to obtain information from space on the vertical distribution of ice particles and ice content and relate them to the lightning activity. The analysis has been carried out, focusing on 12 convective events over Italy that crossed CloudSat overpasses during significant lightning activity. The CPR products considered here are the vertical profiles of cloud ice water content (IWC) and the effective radius (ER) of ice particles, which are compared with the number of strokes as measured by a ground lightning network (LINET). Results show a strong correlation between the number of strokes and the vertical distribution of ice particles as depicted by the 94 GHz CPR products: in particular, cloud upper and middle levels, high IWC content and relatively high ER seem to be favourable contributory causes for CG (cloud to ground) stroke occurrence

    Correlates of calcaneal quantitative ultrasound parameters in patients with diabetes: the study on the assessment of determinants of muscle and bone strength abnormalities in diabetes

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    OBJECTIVE: Quantitative ultrasound (QUS) provides an estimate of bone mineral density (BMD) and also evaluates bone quality, which has been related to increased fracture risk in people with diabetes. This study aimed at assessing the correlates of calcaneal QUS parameters in diabetic subjects encompassing various degrees of micro and macrovascular complications and a wide-range of peripheral nerve function. METHODS: Four hundred consecutive diabetic patients were examined by QUS to obtain values of broadband ultrasound attenuation (BUA), the speed of sound (SOS), quantitative ultrasound index (QUI), and BMD. RESULTS: Among surrogate measures of complications, sensory and motor nerve amplitude and heart rate response to cough test and standing correlated with QUS parameters at univariate analysis, together with age, body mass index (BMI), waist circumference, lipid profile, and renal function. Multivariate analysis revealed that BUA, SOS, QUI, and BMD were independently associated with age, male gender, hemoglobin A1c, BMI (or fat, but not fat-free mass), and somatic and autonomic nerve function parameters. CONCLUSIONS: These data indicate that peripheral nerve dysfunction is associated with worse QUS parameters, possibly contributing to increased fracture risk in diabetes. The positive relation of QUS measures with adiposity needs further investigation. This trial is registered with ClinicalTrials.gov (NCT01600924)

    Quanto gli anni ci separano? Percezione interpersonale all’interno delle coppie

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    El contexto de la percepción interpersonal dentro de la pareja, en muchos aspectos, está conectado a la satisfacción de la misma y, por lo tanto, tener mejor conocimiento sobre este aspecto puede ser útil para obtener respuestas a muchas preguntas sobre la dinámica de las relaciones sentimentales. Lo que es más importante para la vida de una pareja es la "congruencia perceptiva" y por este motivo ha sido estudiado de manera transversal. El principal objetivo que inspiró esta investigación es la determinación de cambios en la "congruencia perceptiva" conectados a la duración de la relación de pareja. Para este propósito se ha utilizado la "lista de verificación de adjetivos" de H. Gough, pidiendo a cada uno de los participantes que manifestaran su auto-percepción y la hetero-percepción. De los resultados se desprende que hay una más marcada disminución cuando el número de años aumenta. Estos resultados permiten estudiar las causas que están en la base de estos cambios y sus consecuencias sobre la relación de una pareja.The context of the interpersonal perception within couples for many aspects is connected to the satisfaction of the couple and therefore having further knowledge about it may be helpful for obtaining answers to many questions concerning the dynamics of sentimental relationships. What is most important for the life of a couple is the “perceptive congruence” and for this reason it was studied in this transversal study. The main objective that inspired this research is to determine changes in “perceptive congruence “connected to the duration of the relationship of a couple. For this purpose the “Adjective Check list” of H. Gough has been chosen asking each of the subjects to perform a self-perception and a hetero-perception. From the results it emerged that there is a more marked decrease as the number of years increases. These results permit further study of the causes that are the basis of these changes and the consequences on the relationship of a couple.L’ambito della percezione interpersonale all’interno delle coppie è per molti aspetti collegato alla soddisfazione di coppia e quindi avere maggiori conoscenze su di esso, può essere utile a rispondere a molte domande riguardanti le dinamiche delle relazioni sentimentali. Ciò che è maggiormente importante per la vita delle coppie è la congruenza percettiva e per tale motivo quest’ultima è stata studiata nella presente ricerca trasversale. L’obiettivo principale che ha guidato la ricerca è quello rilevare i cambiamenti della congruenza percettiva, in relazione alla durata del rapporto di coppia. Si è scelto di utilizzare, per tale scopo, l’Adjective Check List di H. Gough, richiedendo ai soggetti di effettuare ciascuno, un’auto-percezione e un’etero-percezione. Dai risultati è emerso che la congruenza percettiva all’interno delle coppie, all’aumentare del periodo in cui è iniziata la relazione tra i partner, segue un andamento decrementale. Quanto riportato può essere utile per l’approfondimento delle cause che sono alla base di questi andamenti e delle conseguenze, che da essi derivano, sulla relazione di coppia
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