Nonlinear Optics Topical Meeting – Virtual OSA Meeting 9 – 13 August 2021

ISC Director Claudio Conti co-organizes an OSA Virtual meeting from 9th to 13th August 2021.

An international forum for discussion of all aspects of nonlinear optics, including new phenomena, novel devices, advanced materials and applications. Nonlinear optical phenomena play a key role in many applications of photonics. They are now studied and applied over a wide range of energies and powers, from single-photons to zettawatts and above, and over broad spectral ranges, from THz to Gamma-ray frequencies.… Read the rest

Research at ISC – Presentazione dell’Istituto al Dipartimento di Fisica della Sapienza – 25 Maggio ore 14.30

The director of the Institute of Complex Systems, Prof. Claudio Conti, will present the activities of our Institute at the Physics Department of the University of Rome.

The meeting  will be on-line  on May 25th at 14.30, more information can be found here.Read the rest

Seminar by Paola Verrucchi, Monday April 19 at 3 pm

There is only one time

We draw a picture of physical systems that allows us to recognize what “time” is by requiring consistency with the way that time enters the fundamental laws of Physics. Elements of the picture are two non-interacting and yet entangled quantum systems, one of which acting as a clock. In this setting, employing the Page and Wootters mechanism with tools from large-N quantum approaches, we show that there is not a “quantum time”, possibly opposed to a “classical” one; there is only one time, and it is a manifestation of entanglement.… Read the rest

Machine Learning Photonics Lake Como School of Advanced Studies

The school brings together experts in emerging photonic technologies, machine learning techniques, and fundamental physics who will share with young researchers their knowledge and interdisciplinary approaches for understanding and designing complex photonic systems and their practical applications. In the new era of artificial intelligence, algorithms and computational interfaces are broadly emerging as novel tools to do scientific research. The paradigms of machine learning also inspire interpretations and methodologies, in both theories and experiments.… Read the rest