BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T143140Z
LOCATION:B204
DTSTART;TZID=America/New_York:20241118T083000
DTEND;TZID=America/New_York:20241118T120000
UID:submissions.supercomputing.org_SC24_sess426_tut141@linklings.com
SUMMARY:Quantum Machine Learning SC 2024
DESCRIPTION:Christian Boehme (GWDG, Germany); Lourens van Niekerk (Univers
 ity of Göttingen, GWDG, Germany); Patrick Gelß (Zuse Institute Berlin); Ro
 bert Schade (Paderborn Center for Parallel Computing (PC2)); and Tino Meis
 el (GWDG, Germany)\n\nLeveraging quantum algorithms holds the potential fo
 r exponential speedup and disruptive new approaches in machine learning. I
 n this SC tutorial, we present an introduction to quantum computing with a
  focus on its application to machine learning. It is aimed at computer- an
 d data scientists and HPC users of any scientific domain. Our focus is to 
 show how quantum computers are programmed today, while providing the essen
 tial math and physics background required to develop quantum algorithms. O
 ur tutorial contains two parts. The first part introduces basic ideas and 
 examples of gate-based quantum computing designed for participants with on
 ly basic knowledge of quantum computing. The second part illustrates quant
 um classifiers, such as the Variational Quantum Classifier, as an introduc
 tion to Quantum Machine Learning. The tutorial builds on our successful tu
 torials at ISC by refining the parts that were challenging for participant
 s. This tutorial will use the Qiskit framework to show how quantum algorit
 hms can be constructed from available building blocks. As participants pro
 gress through this tutorial, they will acquire practical insights into the
  complexities of quantum computing, equipping them with the fundamental sk
 ills to explore the potential of quantum machine learning in their respect
 ive fields.\n\nTag: Artificial Intelligence/Machine Learning, Emerging Tec
 hnologies, Quantum Computing\n\nRegistration Category: Tutorial Reg Pass\n
 \n
END:VEVENT
END:VCALENDAR