HSI Summit  Pt. 2 - Quantum Information Sciences
Session: Discussion with Early Career Professionals
Length: 1 hr 2 min 30 sec
Moderator: Victoria Norman, PhD Candidate, Department of Physics, University of California, Davis
Panelists: Dr. Andrew Arrasmith, Senior Application Engineer: Quantum Error Mitigation, Rigetti Computing; Mr. Jesse Patton, Research Assistant at University of California, Davis and Early Career Professional; Ms. Beatriz Yankelevich, Quantum Engineering Intern, Rigetti Computing

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This is the video recording of part two of the HSI Strategic Innovation Summit Series for Advanced Research and Instruction in Artificial Intelligence and Quantum Information Sciences. The series is focused on growing undergraduate education in two areas of national concern--artificial intelligence (AI) and quantum information sciences (QIS)--at Hispanic Serving Institutions (HSIs). The second part, devoted to Quantum Information Sciences, was held on April 26, 2022. It introduced the aim of the conference series and brought together educators, scholars, and industry leaders from the field of AI to discuss teaching, faculty development, and institutional barriers within the field.

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Funded by the Improving Undergraduate STEM Education: Hispanic-Serving Institutions (HSI Program) and the Division of Graduate Education (EHR Award No. 2042655), this conference project aims to bring together professors, senior university officials, industry experts, and government sponsors, to explore ways to accelerate research in AI and QIS, and introduce learning activities in AI and QIS early in the education of students at Hispanic-Serving Institutions (HSIs).

Data science (DS), AI, and QIS will have long term and cross-cutting influence on future technologies, education, the workforce, and our lives. HSIs are colleges and universities with more than 25% Hispanic student enrollment, educating more than two-thirds of America’s Hispanic students. Connecting faculty and senior leadership at HSIs, and minority-serving institutions in general, to the networks and resources to support national needs, is expected to increase the number of underrepresented science and engineering students who will contribute to the future STEM workforce. The expected outcomes of this conference will be roadmaps that define pressing research questions and create educational initiatives in AI and QIS for the institutions in attendance.