BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20221106T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69d4809b54cf9
DTSTART;TZID=America/Toronto:20230328T120000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20230328T130000
URL:https://uwaterloo.ca/institute-for-quantum-computing/events/iqc-student
 -seminar-featuring-junan-lin
LOCATION:QNC - Quantum Nano Centre 200 University Avenue West QNC 1201 Wate
 rloo ON N2L 3G1 Canada
SUMMARY:IQC Student Seminar featuring Junan Lin
CLASS:PUBLIC
DESCRIPTION:CHARACTERIZING STATES AND MEASUREMENTS: PRINCIPLES AND APPROACH
 ES\n\nAbstract: The problem of separately characterizing state preparatio
 n\nand measurement (SPAM) processes has not been frequently discussed in\n
 the literature. In this talk\, I will first review the theoretical\nchalle
 nge behind SPAM characterization due to a gauge freedom\, and\nthen descri
 be two different principles that can be applied to get\naround it. The fir
 st one can be understood as an effective propagation\nof state preparation
  noise from the target system to an ancillary\nqubit\, whereas the second 
 one utilizes measurements and post-selection\nto reduce the state preparat
 ion noise and can be interpreted as a form\nof algorithmic cooling. For th
 e first method\, I will present\nexperimental and simulation data obtained
  from real quantum\nprocessors. For the second method\, I will analyze its
  overhead through\nan upper bound on the expected number of runs to achiev
 e a given\nerror-reduction ratio.
DTSTAMP:20260407T035715Z
END:VEVENT
END:VCALENDAR