BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20211207T055413Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211115T143000
DTEND;TZID=America/Chicago:20211115T150000
UID:submissions.supercomputing.org_SC21_sess345_ws_qcs104@linklings.com
SUMMARY:QAOAKit: A Toolkit for Reproducible Study, Application, and Verifi
 cation of QAOA
DESCRIPTION:Workshop\n\nQAOAKit: A Toolkit for Reproducible Study, Applica
 tion, and Verification of QAOA\n\nShaydulin, Marwaha, Wurtz, Lotshaw\n\nUn
 derstanding the best known parameters, performance, and systematic behavio
 r of the Quantum Approximate Optimization Algorithm (QAOA) remain open res
 earch questions, even as the algorithm gains popularity. We introduce QAOA
 Kit, a Python toolkit for the QAOA built for exploratory research. QAOAKit
  is a unified repository of preoptimized QAOA parameters and circuit gener
 ators for common quantum simulation frameworks. We combine, standardize, a
 nd cross-validate previously known parameters for the MaxCut problem, and 
 incorporate this into QAOAKit. We also build conversion tools to use these
  parameters as inputs in several quantum simulation frameworks that can be
  used to reproduce, compare, and extend known results from various sources
  in the literature. We describe QAOAKit and provide examples of how it can
  be used to reproduce research results and tackle open problems in quantum
  optimization.\n\nTag: Online Only, Algorithms, Quantum Computing, Softwar
 e Engineering, System Software and Runtime Systems\n\nRegistration Categor
 y: Workshop Reg Pass
END:VEVENT
END:VCALENDAR