Undergraduate Research and Education in Quantum Machine Learning

Glen Uehara, Jean Larson, Wendy Barnard, Michael Esposito, Filippo Posta, Maxwell Yarter, Aradhita Sharma, Niki Kyriacou, Matthew Dobson, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This Work-In-Progress paper describes a program in quantum machine learning launched in the academic year of 2021-22. The program engaged undergraduate students from STEM areas with faculty and industry mentors. Because of the COVID-19 conditions, this undergraduate engagement was offered in a virtual format. In 2022, some face-to-face meetings with presentations were also held. The program included: a) training in machine learning with quantum simulators, b) weekly presentations, and c) semester end presentations. The assessment of the program included surveys, interviews, and presentation observations. Challenges and opportunities from virtual engagement were also part of the assessment.

Original languageEnglish (US)
Title of host publication2022 IEEE Frontiers in Education Conference, FIE 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665462440
StatePublished - 2022
Event2022 IEEE Frontiers in Education Conference, FIE 2022 - Uppsala, Sweden
Duration: Oct 8 2022Oct 11 2022

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565


Conference2022 IEEE Frontiers in Education Conference, FIE 2022


  • AI
  • machine learning
  • quantum audio and image processing
  • quantum computing

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications


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