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DTSTART:20260308T030000
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DTSTAMP:20261013T171440Z
UID:AA06B273-B737-4F12-B954-26865C8D739A
DTSTART;TZID=America/New_York:20261012T192000
DTEND;TZID=America/New_York:20261012T205000
DESCRIPTION:Abstract:\n\nQuantum computing offers new approaches for analyz
 ing complex biomedical data while also raising important questions about s
 ecurity and trust. This talk presents our recent work at the intersection 
 of quantum machine learning\, biomedical intelligence\, and secure quantum
  systems.\n\nWe discuss hybrid quantum machine learning for stress and emo
 tion recognition\, feature selection from physiological signals\, tamper d
 etection in biomedical data\, and Alzheimer’s disease screening from MRI
  scans. The talk then examines security threats to quantum machine learnin
 g systems\, including crosstalk-induced and quantum Trojan-style attacks\,
  and highlights the need for secure-by-design quantum computing. Overall\,
  the talk explores both the opportunities of quantum computing for biomedi
 cal intelligence and the security challenges that must be addressed for re
 al-world deployment.\n\nSpeaker(s): Dr. Thapliyal\n\nAgenda: \n18:00 to 18
 :45 - Gathering\n\n18:45 to 1930 - Dinner\n\n1930 to 2020 - Talk\n\n2020 t
 o 2030 - Q&A\n\nRoom: Priscilla Room\, ++++++++++++++++++++\, White's of W
 estport\, 66 State Road\, Westport\, Massachusetts\, United States\, Virtu
 al: https://events.vtools.ieee.org/m/578113
LOCATION:Room: Priscilla Room\, ++++++++++++++++++++\, White's of Westport\
 , 66 State Road\, Westport\, Massachusetts\, United States\, Virtual: http
 s://events.vtools.ieee.org/m/578113
ORGANIZER:ted.dawson@ieee.org
SEQUENCE:179
SUMMARY:Quantum Computing for Biomedical Intelligence and Secure Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/578113
X-ALT-DESC:Description: <br /><p><strong>Abstract:</strong></p>\n<p>Quantum
  computing offers new approaches for analyzing complex biomedical data whi
 le also raising important questions about security and trust. This talk pr
 esents our recent work at the intersection of quantum machine learning\, b
 iomedical intelligence\, and secure quantum systems.</p>\n<p>We discuss hy
 brid quantum machine learning for stress and emotion recognition\, feature
  selection from physiological signals\, tamper detection in biomedical dat
 a\, and Alzheimer&rsquo\;s disease screening from MRI scans. The talk then
  examines security threats to quantum machine learning systems\, including
  crosstalk-induced and quantum Trojan-style attacks\, and highlights the n
 eed for secure-by-design quantum computing. Overall\, the talk explores bo
 th the opportunities of quantum computing for biomedical intelligence and 
 the security challenges that must be addressed for real-world deployment.<
 /p><br /><br />Agenda: <br /><p>18:00 to 18:45 - Gathering</p>\n<p>18:45 t
 o 1930 - Dinner</p>\n<p>1930 to 2020 - Talk</p>\n<p>2020 to 2030 - Q&amp\;
 A</p>\n<p>&nbsp\;</p>
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