BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon-2026//speaker//7E9R9A
BEGIN:VTIMEZONE
TZID:CET
BEGIN:STANDARD
DTSTART:20001029T040000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000326T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-juliacon-2026-JA8JFE@pretalx.com
DTSTART;TZID=CET:20260814T124500
DTEND;TZID=CET:20260814T130000
DESCRIPTION:Quantum computing\, communication\, and sensing technologies re
 ly on precise knowledge of quantum states. Quantum states cannot be direct
 ly measured. Quantum state tomography (QST) reconstructs these states from
  indirect measurements\, similar to how CT imaging combines multiple 2D pr
 ojections into a 3D model. In QST\, the goal is to minimize the statistica
 l discrepancy between experimentally observed data and predictions from qu
 antum theory. This optimization problem is nonlinear and subject to physic
 al constraints on the states. We present a Julia implementation that effic
 iently and robustly minimizes this statistical distance while enforcing th
 ese constraints. Our work provides a practical\, extensible toolkit for QS
 T and a comparative guide to choosing optimizer based on accuracy\, speed\
 , and robustness.
DTSTAMP:20260502T104012Z
LOCATION:Room 3
SUMMARY:Fast and reliable quantum state tomography in Julia - Fabian Mülle
 r
URL:https://pretalx.com/juliacon-2026/talk/JA8JFE/
END:VEVENT
END:VCALENDAR