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Essay 4.9

Quantum Computing for Data Science Teams: Talent And Skills | Post-Pandemic Lessons

31
Pages
Chicago
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~ 32–46 mins
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AI AR/VR Public Policy
Abstract

This essay investigates “Quantum Computing for Data Science Teams: Talent And Skills | Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a human-centered lens, the analysis integrates multi-source data to derive a validated measurement model for researchers and practitioners.

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Quantum Computing for Data Science Teams: Talent And Skills | Post-Pandemic Lessons

ABSTRACT
Quantum Computing for Data Science Teams: Talent And Skills | Post-Pandemic Lessons is unpacked across themes: security, usability, change enablement, and risks. Limitations and future research paths are noted.
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