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From the 1 of 12 linked papers with an AI index.

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12 papers

physics.ed-ph2026

Trajectories into Careers in the Quantum Industry: Beyond Knowledge and Skills

Shams El-Adawy, A. R. Piña, Benjamin M. Zwickl +1

The paper analyzes interviews with quantum industry professionals to identify four common pathways—research continuity, expertise reframing, incremental engagement, and network-ena…

physics.ed-ph2026

Experimental Skills for Undergraduate Career Preparation in Quantum Information Science and Engineering

Shams El-Adawy, A. R. Piña, A. R. Piña +2

The growth of the Quantum Information Science and Engineering (QISE) industry has increased interest in how undergraduate programs prepare students for careers in this field. Prior…

physics.ed-ph2026

How undergraduate physics students use generative AI for computational modeling

Karl Henrik Fredly, Tor Ole B. Odden, Benjamin M. Zwickl

Generative artificial intelligence (genAI) is becoming increasingly prevalent and capable in physics, particularly for programming-related tasks. How, then, does genAI affect stude…

physics.ed-ph2026

Physics Computational Literacy: Programming, modeling and collaboration at the journeyman level

Karl Henrik Fredly, Tor Ole B. Odden, Benjamin M. Zwickl

Computation has become an integral part of physics research. However, little is known about how students learn to productively use computation as a tool beyond the introductory lev…

physics.ed-ph2026

Profiles of Roles in the Quantum Industry

Shams El-Adawy, A. R. Piña, Benjamin M. Zwickl +1

This report builds upon the Categorization of Roles in the Quantum Industry report by providing detailed profiles for 29 distinct roles across the quantum workforce. While the earl…

physics.ed-ph2025

Categorization of Roles in the Quantum Industry

A. R. Pina, Shams El-Adawy, H. J. Lewandowski +1

Continued growth of the quantum information science and engineering (QISE) industry has resulted in stakeholders spanning education, industry, and government seeking to better unde…