Why do simple models work? Partial answers from information geometry (Le...
Δημοσιεύτηκε στις 2 Ιαν 2017
26 December 2016 to 07 January 2017
VENUE: Madhava Lecture Hall, ICTS Bangalore
Information
theory and computational complexity have emerged as central concepts in
the study of biological and physical systems, in both the classical and
quantum realm. The low-energy landscape of classical and quantum
systems can be characterized in terms of constraint satisfaction
problems, with the physical behavior of these theories – for example,
glassy behavior – governed by the computational complexity of such
problems. Information theory also provides a language for laying the
foundations of nonequilibrium statistical mechanics, and plays a central
role in understanding the emergence of a small number of useful
parameters in models of physical and biological phenomena.
This
school, organized jointly by the ICTS and Brandeis University, will
cover a variety of forefront research topics in physics and biology, in
which information and computation play a central role:
• Thermodynamics of information processing
• Coding and computation in statistical mechanics
• Quantum information in extended systems
• Information geometry and ”sloppy” models
Inspired
by the history of the renormalization group, the goal is to provide an
interdisciplinary survey of the uses of information theory in physics
and biology, in order to seed future conceptual breakthroughs in our
understanding of complex physical and biological systems. The school
will consist of a set of pedagogical lectures by prominent researchers
in statistical physics, biological physics, and quantum information
theory. These will be supplemented with tutorials led by the organizers
and structured around worked problems and selected readings of key
papers. The pedagogical activities will be followed up with seminars by
the lecturers on current research.
The school is intended for advanced graduate students, post-docs and other junior researchers
CONTACT US:
infoasi@icts.res.in
PROGRAM LINK
https://www.icts.res.in/program/INFOASI
VENUE: Madhava Lecture Hall, ICTS Bangalore
Information
theory and computational complexity have emerged as central concepts in
the study of biological and physical systems, in both the classical and
quantum realm. The low-energy landscape of classical and quantum
systems can be characterized in terms of constraint satisfaction
problems, with the physical behavior of these theories – for example,
glassy behavior – governed by the computational complexity of such
problems. Information theory also provides a language for laying the
foundations of nonequilibrium statistical mechanics, and plays a central
role in understanding the emergence of a small number of useful
parameters in models of physical and biological phenomena.
This
school, organized jointly by the ICTS and Brandeis University, will
cover a variety of forefront research topics in physics and biology, in
which information and computation play a central role:
• Thermodynamics of information processing
• Coding and computation in statistical mechanics
• Quantum information in extended systems
• Information geometry and ”sloppy” models
Inspired
by the history of the renormalization group, the goal is to provide an
interdisciplinary survey of the uses of information theory in physics
and biology, in order to seed future conceptual breakthroughs in our
understanding of complex physical and biological systems. The school
will consist of a set of pedagogical lectures by prominent researchers
in statistical physics, biological physics, and quantum information
theory. These will be supplemented with tutorials led by the organizers
and structured around worked problems and selected readings of key
papers. The pedagogical activities will be followed up with seminars by
the lecturers on current research.
The school is intended for advanced graduate students, post-docs and other junior researchers
CONTACT US:
infoasi@icts.res.in
PROGRAM LINK
https://www.icts.res.in/program/INFOASI
Κατηγορία
Άδεια
- Τυπική άδεια YouTube
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου