quantum neural networks

What Challenges Exist in Implementing QNNs in Epidemiology?

Despite their potential, there are several challenges to implementing QNNs in epidemiology:
Technical Complexity: Quantum computing is still in its early stages, and developing QNNs requires specialized knowledge and expertise.
Data Quality: The effectiveness of QNNs depends on the quality and completeness of the data being analyzed.
Scalability: Current quantum computers have limitations in terms of the number of qubits and error rates, which can affect the scalability of QNNs.
Ethical Considerations: The use of advanced technologies in health data analysis raises ethical issues related to privacy and data security.

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