An information machine with tunable correlations based on colloid particle diffusion

Seminar
QUEST Center event
No
Speaker
Yael Roichman, Tel Aviv University
Date
01/01/2018 - 12:45 - 12:30Add to Calendar 2018-01-01 12:30:00 2018-01-01 12:45:00 An information machine with tunable correlations based on colloid particle diffusion We realize experimentally an information machine converting information to work. Our experimental design is comprised of a colloidal particle diffusing in a microfluidic channel, with a repelling laser based barrier that is moved in feedback to the measured particle position. In a quasi-static mode of operation, the amount of used information is related to the Shannon entropy of uncorrelated steps. We develop a scheme to calculate this information at steady state at fast operation, which induces temporal correlations. We use this calculation to characterize the output power and efficiency of our information machine as a function of feedback cycle time. Physics (Building 202), Room 301 המחלקה לפיזיקה physics.dept@mail.biu.ac.il Asia/Jerusalem public
Place
Physics (Building 202), Room 301
Abstract

We realize experimentally an information machine converting information to work. Our experimental design is comprised of a colloidal particle diffusing in a microfluidic channel, with a repelling laser based barrier that is moved in feedback to the measured particle position. In a quasi-static mode of operation, the amount of used information is related to the Shannon entropy of uncorrelated steps. We develop a scheme to calculate this information at steady state at fast operation, which induces temporal correlations. We use this calculation to characterize the output power and efficiency of our information machine as a function of feedback cycle time.

תאריך עדכון אחרון : 28/12/2017