Training Students for Research with Quantum AI Simulation Tools

This study describes the Research Experiences for Undergraduate (REU) students training program on Quantum Machine Learning (QML), hosted by the SenSIP Center at Arizona State University. In 2025, the REU hosted several projects that engaged quantum computing in audio analysis, computer vision, medical imaging diagnostics, anomaly detection, and generative machine learning. The objectives of the research training program are to a) embed students in QML research by immersing them in government and industry projects, b) train students to program QML simulations, c) encourage students to pursue graduate research, d) increase awareness of career opportunities in QML, and e) provide professional development in presenting and documenting research. The paper describes the research projects of the students and presents preliminary assessments by external evaluators.