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BEGIN:VEVENT
DTSTAMP:20200721T172412Z
UID:50418C6B-47B9-49B4-99C4-CD76DA70835B
DTSTART;TZID=America/Montreal:20200721T120000
DTEND;TZID=America/Montreal:20200721T130000
DESCRIPTION:The generation and manipulation of quantum states of light has 
 historically played a critical role in the development of quantum informat
 ion science: from the first violation of Bell’s inequality to the more r
 ecent development of near-term quantum algorithms such as the variational 
 quantum eigensolver. In this talk\, I present a new frontier for photons a
 t the intersection of quantum mechanics and machine learning. I will first
  provide a short introduction to the field of quantum photonics\, then dem
 onstrate how quantum photonic processors can accelerate both quantum and c
 lassical machine learning. Finally\, I show how optimization techniques ca
 n enhance large-scale quantum control and provide a new path towards effic
 ient verification of near-term quantum processors.\n\nCo-sponsored by: Vit
 esse Re-Skilling Canada\, IEEE Ottawa PHO Chapter\, ComSoc Chapter\, CS Ch
 apter\, TEMS Chapter\, and SP Chapter \n\nSpeaker(s): Dr. Jacques Carolan\
 , \n\nAgenda: \n12:00 noon - 12:45 Presentation\n\n12:45-13:00 Q&A\n\nPlea
 se note\, this is an online webinar\, All registered attendees will receiv
 e an email notice on how to sign in to the webinar\, Kanata\, Ontario\, Ca
 nada
LOCATION:Please note\, this is an online webinar\, All registered attendees
  will receive an email notice on how to sign in to the webinar\, Kanata\, 
 Ontario\, Canada
ORGANIZER:kexing.liu@ieee.org
SEQUENCE:3
SUMMARY:IEEE Ottawa Webinar Series on AI and Machine Learning - Sponsored b
 y IEEE Ottawa PHO Chapter\, CS Chapter\, ComSoc Chapter\, TEMS Chapter\, a
 nd SP Chapter\, jointly with Vitesse- Reskilling
URL;VALUE=URI:https://events.vtools.ieee.org/m/234954
X-ALT-DESC:Description: <br /><p>The generation and manipulation of quantum
  states of light has historically played a critical role in the developmen
 t of quantum information science: from the first violation of Bell&rsquo\;
 s inequality to the more recent development of near-term quantum algorithm
 s such as the variational quantum eigensolver. In this talk\, I present a 
 new frontier for photons at the intersection of&nbsp\;<em>quantum mechanic
 s</em>&nbsp\;and&nbsp\;<em>machine learning</em>. I will first provide a s
 hort introduction to the field of quantum photonics\, then demonstrate how
  quantum photonic processors can accelerate both quantum and classical mac
 hine learning. Finally\, I show how optimization techniques can enhance la
 rge-scale quantum control and provide a new path towards efficient verific
 ation of near-term quantum processors.</p><br /><br />Agenda: <br /><p>12:
 00 noon - 12:45 Presentation</p>\n<p>12:45-13:00 Q&amp\;A</p>
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