CMSP

Europe/Rome 2020-12-01 11:00:00 2020-12-01 12:00:00 CMSP Seminar (Joint ICTP/SISSA Statistical Physics): Entanglement entropies and the modular bootstrap for $Z_3$ Riemann surfaces In this talk I will discuss some recent developments in the study of entanglement in 1+1 and 2+0 dimensions quantum field theories. The seminar is divided into two parts, which are self-contained. In the first half I will review results for entanglement dynamics obtained in the scaling limit of the Ising spin chain, by using a form factor perturbation theory. Speculations about thermalization at large times and its absence will be given; this is a published joint work with O. Castro-Alvaredo, M. Lencses and I. Szecsenyi. In the second part, I will explain how genus two partition functions in CFTs with c<1 can be calculated using the conformal bootstrap. Such partition functions appear in the study of the mutual information and negativity and so-far there was no general technique to determine them. If not already in zeitnot, I will discuss two examples: the Lee Yang and the Ising CFT. The second part is an ongoing collaboration with F. Ares. Virtual ICTP pio@ictp.it 1 Dec 2020

Europe/Rome 2020-12-04 16:00:00 2020-12-04 17:00:00 CMSP Seminar (Atomistic Simulation Webinar Series): Liquid-liquid critical point in realistic models of water The hypothesis that water may possess a second critical point located at deeply supercooled conditions was formulated in an effort to provide a thermodynamically consistent interpretation for numerous experimentally-observed anomalies of water. While the preponderance of evidence is consistent with the existence of a second critical point, no unambiguous experimental proof has been found to date. Computer simulations can bypass the main challenge to experiments, rapid crystallization, but require computational efforts that prevented the rigorous verification of the presence of a second critical point in accurate water models up to now. Here, we use the histogram reweighting and large-system scattering calculations to investigate computationally two molecular models of water, TIP4P/2005 and TIP4P/Ice, widely regarded to be among the best classical force fields for this substance. We show that both models possess a metastable liquid-liquid critical point at deeply supercooled conditions and that this critical point is consistent with the 3-d Ising universality class. Next-generation challenges in this field include i) bringing higher accuracy (i.e. quantum mechanical accuracy) models to better performance so that above-mentioned analyses (finite-size scaling via histogram reweighting and large-system scattering) would be possible to perform ii) developing advanced sampling techniques to accelerate the sampling of slow-relaxation events, such as long-range correlations near criticality. Virtual ICTP pio@ictp.it 4 Dec 2020

Europe/Rome 2020-12-10 14:00:00 2020-12-10 15:00:00 CMSP Seminar (Joint ICTP/SISSA Statistical Physics): to be announced VIRTUAL ICTP pio@ictp.it 10 Dec 2020

Europe/Rome 2020-12-15 11:00:00 2020-12-15 12:00:00 CMSP Seminar (Joint ICTP/SISSA Statistical Physics): to be announced VIRTUAL ICTP pio@ictp.it 15 Dec 2020

Europe/Rome 2020-11-30 07:00:00 2020-12-18 21:00:00 Virtual Winter School on Strongly Correlated Quantum Matter | (smr 3591) Jointly organized with Max Planck Institute for the Physics of Complex Systems. Please click here for further information https://www.pks.mpg.de/scqm20/ The last two decades have witnessed the development of an increasingly interdisciplinary approach to the theory of strongly correlated systems interfacing with quantum field or quantum information theory and more recently with artificial intelligence. This has been accompanied by rapid experimental progresses, both in solid state and atomic physics platforms. The aim of this virtual school is to present a broad-spectrum introduction to the field of strongly correlated systems, with particular attention dedicated to cross- disciplinary aspects. The school is structured combining pedagogical lectures with several small scale, 'pyramidal' tutoring for some of the lectures, a series of 'overview' selected seminars, and a poster session. It will be a particular goal to foster scientific interactions, where we eagerly await also initiative actions and contributions by the participants. Topics include Computational approaches to correlated quantum matter Quantum many-body dynamics Frustrated magnets and topology Quantum information Programmable quantum devices Lattice gauge theories   Invited Speakers A. BROWAEYS (FR) G. CARLEO (CH) C. CASTELNOVO (UK) A. GEORGES (US) T. HATSUDA (JP) V. KHEMANI (US) C. KOLLATH (DE) B. LAKE (DE) R. MELKO (CA) M. PALMA (IT) F. VICENTINI (CH) U.-J. WIESE (CH) Scientific Coordinators M. COLLURA, SISSA, Italy M. DALMONTE, ICTP, Italy M. HEYL, MPIPKS, Germany D. LUITZ, MPIPKS, Germany Online - ICTP pio@ictp.it 30 Nov 2020 - 18 Dec 2020

Europe/Rome 2021-01-13 07:00:00 2021-02-03 21:00:00 The Hitchhiker's Guide to Condensed Matter and Statistical Physics: Machine Learning for Condensed Matter | (smr 3589) An ICTP Virtual School, 1st edition This online school is the first in a series of events to be held during 2021 under the joint title “The Hitchhiker's Guide to Condensed Matter and Statistical Physics” whose goal is to sketch a roadmap of current exciting research directions in Condensed Matter and Statistical Physics. These events are aimed at advanced undergraduate and graduate students, as well as young researchers interested in learning more about different subjects, both from the developing world and elsewhere. The lectures will be held once a week over 4 weeks in January and February 2021 and will lead the students from basic notions to the open problems in each topic. Each week one of the four lecturers will present 1h of basic notions + 1h of a colloquia style lecture, with ample time for discussions. The first series of lectures will be dedicated to Machine Learning (ML) and its intersections with Condensed Matter and Statistical Physics. How can statistical physics help in understanding the theory behind ML techniques? What are the most fruitful applications of ML methods to condensed matter physics? The lectures will answer these and other questions related to ML and many-body quantum systems, quantum computing, and material physics. Lecturers: G. CARLEO, EPFL, Switzerland J. CARRASQUILLA, Vector Institute for Artificial Intelligence, Canada B. CHENG, University of Cambridge, United Kingdom D. SCHWAB, The Graduate Center, CUNY, USA Basic notions sessions will be held before the main lectures. Online - ICTP pio@ictp.it 13 Jan 2021 - 3 Feb 2021