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:20220313T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20221106T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:6837d45d30142 DTSTART;TZID=America/Toronto:20221110T153000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20221110T163000 URL:/institute-for-quantum-computing/events/synthesis-q uantum-reservoir-computing-machine-learning-and SUMMARY:SYNTHESIS: QUANTUM RESERVOIR COMPUTING\, MACHINE LEARNING\, AND\nAS TROMETRY. CLASS:PUBLIC DESCRIPTION:Summary \n\nIQC SEMINAR FEATURING DR. STEPHEN VINTSKEVICH\n\nTh ere are multiple challenging issues one must address to boost\nfurther the nascent field of quantum technologies. The most common are\nreducing nois es’ affection on a given quantum protocol’s\nperformance\, performing well-controlled quantum operations\, and\ndeveloping general frameworks fo r mapping various practical problems\ninto quantum algorithms performed in different quantum devices. ...\n DTSTAMP:20250529T032829Z END:VEVENT END:VCALENDAR