Problem Statement
Recognizing its strategic significance, the importance of quantum computing has been underscored in maintaining technological leadership. On the global stage, the race for quantum supremacy intensifies. Given the high stakes, it is essential to understand and fortify the emerging supply chains that will dynamically support quantum computing equipment.
Research Question
How can network science and predictive analytics evaluate the stability of quantum computing supply chains?
Research Methodology
We map the supply chain from final equipment tracing back to critical components like rare earth minerals, semiconductors, lasers, and optics. The methodological approach involves:
- Using 10-K audit reports from publicly traded companies.
- Enriching this data using Web-scrapping, Natural Language Processing (NLP), and Generative AI techniques.
- Applying network science and predictive analytics to analyze the supply chain structure.
Key Results
This research maps the intricate supply chain behind quantum computers, tracing it upstream to critical and rare earth minerals and other vital components such as semiconductors, lasers, and optics. We shift the focus from resilience to proactive robustness and supply chain stability for the quantum computing equipment, establishing a basis for utilizing predictive analytics, including AI/ML, to anticipate the effects of vulnerabilities and rippling disruptions.