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:682b842d6210f DTSTART;TZID=America/Toronto:20230328T120000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20230328T130000 URL:/institute-for-quantum-computing/events/iqc-student -seminar-featuring-junan-lin SUMMARY:IQC Student Seminar featuring Junan Lin CLASS:PUBLIC DESCRIPTION:Summary \n\nCHARACTERIZING STATES AND MEASUREMENTS: PRINCIPLES AND APPROACHES\n\nAbstract: The problem of separately characterizing stat e preparation\nand measurement (SPAM) processes has not been frequently di scussed in\nthe literature. In this talk\, I will first review the theoret ical\nchallenge behind SPAM characterization due to a gauge freedom\, and\ nthen describe two different principles that can be applied to get\naround it. The first 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 st ate preparation noise and can be interpreted as a form\nof algorithmic coo ling. For the first method\, I will present\nexperimental and simulation d ata obtained from real quantum\nprocessors. For the second method\, I will analyze its overhead through\nan upper bound on the expected number of ru ns to achieve a given\nerror-reduction ratio. DTSTAMP:20250519T191909Z END:VEVENT END:VCALENDAR