What are the Challenges of Implementing QML in Epidemiology?

Despite its potential, there are several challenges to implementing QML in epidemiology:

Technical Expertise: There is a need for specialized knowledge in both quantum computing and epidemiology.
Data Quality: High-quality, large-scale datasets are essential for training QML models.
Computational Resources: Quantum computers are still in the early stages of development and are not widely accessible.
Interdisciplinary Collaboration: Effective implementation requires collaboration between epidemiologists, data scientists, and quantum computing experts.