[CvGmt News] [Notiziario] [Settimanale] modifica avviso Colloquio della Classe di Scienze, prof. Ivano Tavernelli e prof. Fabrizio Renzi (23.05.2018)

Valeria Giuliani valeria.giuliani at sns.it
Fri May 18 09:22:16 CEST 2018


Si comunica che per motivi personali il prof. Alessandro Curioni non potrà
tenere il Colloquio della Classe di Scienze previsto, il 23 maggio 2018. Al
suo posto sono stati invitati il prof.  Ivano Tavernelli e il
prof.  Fabrizio Renzi. Di seguito i dettagli del Colloquio:



Colloqui della Classe di Scienze - Anno Accademico 2017/2018
>
> Mercoledì  23 Maggio 2018
> ore 15:00
>
> Sala Azzurra
> Palazzo della Carovana
>
> *Fabrizio Renzi (Innovation, Research, University and Technical Director
> at IBM - Italia)*
>
> *Ivano Tavernelli (Theoretical Quantum Computing Technical Leader at IBM
> Research - Zurich)*
>
> *Titolo: “**IBM Q: building the first universal quantum computers **for
> business and science**”*
>
> *Abstract:*
>
> "We are at an exciting inflection point in quantum computing.  The
> disciplines of quantum physics and quantum information science are mature
> to the point of producing a number of practical algorithms, and today's
> quantum computers are capable of providing a concrete implementation with
> which we can explore the possibilities of these techniques.
>
> IBM has opened up real and simulated quantum computers for everyone to
> learn how to program in this new paradigm.
>
> One of the promising applications for quantum computing is in Materials
> and Chemistry. With a quantum computer scientists and engineers expect to
> untangle the complexity of molecular and chemical interactions leading to
> the discovery of new materials and medicines, and model the quantum states
> of molecules. We will discuss the status of the  applications in this space
> and share some recent activity.
>
> Other potential application areas are Business Optimization, where a
> quantum computer can provide improved solutions to complex optimization
> problems found in supply chains, logistics, modeling financial data, and
> risk analysis, or Machine Leaerning / AI, for instance to speed up the
> training of classifiers or even build new types of systems."
>
>
> Tutti gli interessati sono invitati a partecipare.
>
> Classe di Scienze
>
>
>
> Valeria Giuliani
> Scuola Normale Superiore
> Servizio alla Didattica e Allievi
> tel. 050 509260
> Piazza dei Cavalieri, 7
> 56126 Pisa
> E-mail: valeria.giuliani at sns.it
> E-mail: classi at sns.it
>
>
>

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