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:20160313T070000 END:DAYLIGHT BEGIN:STANDARD TZNAME:EST TZOFFSETFROM:-0400 TZOFFSETTO:-0500 DTSTART:20161106T060000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:683108167937e DTSTART;TZID=America/Toronto:20170302T120000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20170302T120000 URL:/institute-for-quantum-computing/events/seminar-pen ghui-yao SUMMARY:Seminar: Penghui Yao CLASS:PUBLIC DESCRIPTION:Summary \n\nEXPECTED COMMUNICATION COST OF DISTRIBUTED QUANTUM TASKS\n\nPENGHUI YAO\, UNIVERSITY OF MARYLAND\, BALTIMORE\n\nData compres sion is a fundamental problem in quantum and classical\ninformation theory . A typical version of the problem is that the\nsender Alice receives a cl assical or quantum) state from some known\nensemble and needs to transmit it to the receiver Bob with average\nerror below some specified bound. We consider the case in which the\nmessage can have a variable length and goa l is to minimise its\nexpected length. For the classical case\, this probl em has a well-known\nsolution given by the Huffman coding.\n DTSTAMP:20250523T234318Z END:VEVENT END:VCALENDAR