BEGIN:VCALENDAR
VERSION:2.0
PRODID:Icfo
X-PUBLISHED-TTL:P1W
BEGIN:VEVENT
UID:6a04b7b867825
DTSTART:20221116T133000Z
SEQUENCE:0
TRANSP:OPAQUE
LOCATION:Blue Lecture Room 
SUMMARY:ICFO | XAVIER VALCARCE
CLASS:PUBLIC
DESCRIPTION:Device-independent quantum key distribution (DIQKD) reduces the
  vulnerability to side-channel attacks of standard QKD protocols by removi
 ng the need for characterized quantum devices. The higher security guarant
 ees come however\, at the price of a challenging implementation.\nHere\, w
 e tackle the question of the conception of an experiment for implementing 
 DIQKD with photonic devices. We introduce a technique combining reinforcem
 ent learning\, optimisation algorithm and a custom efficient simulation of
  quantum optics experiments to automate the design of photonic setups maxi
 mizing a given function of the measurement statistics. Applying the algori
 thm to DIQKD\, we get unexpected experimental configurations leading to hi
 gh key rates and to a high resistance to loss and noise. These configurati
 ons might be helpful to facilitate a first implementation of DIQKD with ph
 otonic devices and for future developments targeting improved performances
 .
DTSTAMP:20260513T174112Z
END:VEVENT
END:VCALENDAR