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Il Dipartimento di Fisica ospita Seminari di Dipartimento, Seminari organizzati dai gruppi di ricerca, e Physics Colloquia organizzati dalla Scuola di Dottorato.

I Seminari vengono inseriti nel Calendario.

Di seguito gli eventuali Seminari in programma nel mese in corso:

21/12/2017 Ore 12:30 - 14:00

Seminario: in aula D "State-­of-­the‐art quantum computers" di Riccardo Manenti (Rigetti Quantum Computing)

giovedì 21 dicembre 2017
alle 12:30

nell'aula D del Dipartimento di Fisica dell'Università degli Studi di Milano, Via Celoria 16, Milano

Riccardo Manenti (Rigetti Quantum Computing, Berkeley, California)

Superconducing devices are promising candidates for building a fully‐functional quantum computer.
In this talk, we present basic notions of superconducing circuits, including dispersive readout, single qubit rotations and two‐qubit entangling gates activated by flux pulses applied to tunable qubits.
We briefly present some fabrication techniques adopted at Rigetti Computing, and we present some quantum algorithms that can be run on near term quantum devices.

Prof. Davide Galli

12/12/2017 Ore 12:30 - 14:00

Seminario: in aula Caldirola "Exploring the effects of social influence on flocking dynamics" di M. Carmen Miguel (University of Barcelona)

mercoledì 12 dicembre 2017
alle 12:30

nell'aula Caldirola del Dipartimento di Fisica dell'Università degli Studi di Milano, Via Celoria 16, Milano

: M. Carmen Miguel (Associate Professor of Condensed Matter Physics at the Universitat de Barcelona since 2006)

Social relationships characterize the interactions that occur within social species and may have an important impact on collective animal motion. Here, we consider some variations of the standard Vicsek model for collective motion to incorporate social influence. The main assumption of the Vicsek and other similar models of collective motion is that particles tend to orient their velocity parallel to the average velocity in a local neighborhood, independently of their identity, leaving aside the fact that real interactions between moving animals can be more intricate. By incorporating interactions mediated by an empirically motivated scale-free topology that represents a heterogeneous pattern of social contacts, we observe that the degree of order of the model is strongly affected by network heterogeneity: more heterogeneous networks show a more resilient ordered state; while less heterogeneity leads to a more fragile ordered state that can be destroyed by sufficient external noise.

Another important aspect of collective animal motion is the existence of behavioural changes at the individual level, which may by transmitted to the group, triggering intermittent collective rearrangements or even phase transitions at the macroscopic level. Individual-level changes can occur upon the presence of predators but also in the absence of nearby threatening sources. We examine avalanching behavior in the collective motion of flocks where a single individual has a long range orientational contagion effect over the rest of individuals. We observe that the response of the flock to changes in the direction of motion of such individuals shows an intermittent avalanche-like behavior, characterized by sudden reorientations of the trajectories of groups of individuals. We show that the distribution of avalanche sizes and durations show scale-free signatures in analogy with self-organized critical processes. In terms of this analogy, we observe that the distribution of sizes and times exhibits finite size scaling, and compute the associated exponents. The results obtained appear to be in fairly good agreement with recent experimental results characterizing collective evasion in schooling fish. Yet, more empirical data are needed to obtain a better understanding of the patterns of collective rearrangements in other flocking systems, where individual differences and/or social interactions may have an important effect.

(Co-authors: Javier Cristín, Jack T. Parley, and Romualdo Pastor-Satorras)

Ulteriori informazioni sul sito web del Center for Complexity & Biosystems, Dipartimento di Fisica dell'Università degli Studi di Milano

MAIL TO Prof. Stefano Zapperi

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