Quantum Workforce Development
Authored and delivered a white paper and power-sector quantum workforce framework centered on the National Quantum Grid Academy (QGA). The strategy links role-specific training to phased post-quantum cryptography (PQC) migration, quantum-sensing pilots, and benchmark-gated hybrid computing, providing stakeholders with an actionable, KPI-driven roadmap for building capability.
Quantum adoption is a workforce and operating-model challenge as much as a technology problem. Utilities need distinct capabilities at the field, engineering, and research levels to migrate cryptography, evaluate quantum sensors, and test hybrid computing without treating every employee as a quantum specialist.
I organized the curriculum around technology maturity and operational urgency. 'Defend' focuses on immediate post-quantum cryptography (PQC) readiness. 'Sense' covers near-term quantum-sensor and resilient-timing pilots. 'Compute' targets longer-term hybrid quantum-classical experiments gated by rigorous comparison against strong classical baselines.
To operationalize the strategy, I designed a three-tier training framework called the National Quantum Grid Academy (QGA). A multi-week Technician Track emphasizes hardware installation and secure data collection. A multi-month Engineer Track covers hybrid workflows, benchmarking, and PQC migration projects. Finally, a research-grade Specialist Track supports advanced algorithm and systems research.
To make the curriculum actionable, I defined a regional delivery model, track-specific capstones, and governance responsibilities. The goal was to tie technical training directly to auditable adoption decisions rather than producing another abstract strategy document.
The project culminated in a white paper and curriculum design proposal delivered to national-laboratory stakeholders. It provides a structured workforce framework but is not an actively deployed academy. This public summary omits client-specific architecture.