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:682f48b8ea659 DTSTART;TZID=America/Toronto:20230922T090000 SEQUENCE:0 TRANSP:TRANSPARENT DTEND;TZID=America/Toronto:20230922T100000 URL:/institute-for-quantum-computing/events/stefanie-be ale-phd-thesis-defence SUMMARY:Stefanie Beale PhD Thesis Defence CLASS:PUBLIC DESCRIPTION:Summary \n\nMODELING AND MANAGING NOISE IN QUANTUM ERROR CORREC TION \n\nSimulating a quantum system to full accuracy is very costly and often\nimpossible as we do not know the exact dynamics of a given system. In\nparticular\, the dynamics of measurement noise are not well understood .\nFor this reason\, and especially in the context of quantum error\ncorre ction\, where we are studying a larger system with branching\noutcomes due to syndrome measurement\, studies often assume a\nprobabilistic Pauli (or Weyl) noise model on the system with\nprobabilistically misreported outco mes for the measurements. In this\nthesis\, we explore methods to decrease the computational complexity of\nsimulating encoded memory channels by de riving conditions under which\neffective channels are equivalent up to log ical operations. Leveraging\nthis method allows for a significant reductio n in computational\ncomplexity when simulating quantum error correcting co des. We then\npropose methods to enforce a model consistent with the typic al\nassumptions of stochastic Pauli (or Weyl) noise with probabilistically \nmisreported measurement outcomes. First\, via a new protocol we call\nme asurement randomized compiling\, which enforces an average noise on\nmeasu rements wherein measure- ment outcomes are probabilistically\nmisreported. Then\, by another new protocol we call logical randomized\ncompiling\, wh ich enforces the same model on syndrome measurements and\na probabilistic Pauli (or Weyl) noise model on all other operations\n(including idling). T ogether\, these results enable more efficient\nsimulation of quantum error correction systems by enforcing effective\nnoise of a form which is easie r to model and by reducing the\nsimulation overhead further via symmetries . The enforced effective\nnoise model is additionally consistent with stan dard error correction\nprocedures and enables techniques founded upon the standard\nassumptions to be applied in any setting where our protocols are \nsimultaneously applied. \n DTSTAMP:20250522T155432Z END:VEVENT END:VCALENDAR