1. Part One will provide an accessible overview of QNNs and why they matter, focusing on their unique ability to handle sparse or incomplete datasets and uncover correlations that classical models often miss. Through examples from literature and real-world case studies, participants will see how QNNs can open new possibilities for discovery and prediction.

2. Part Two will take a deeper dive into quantifying how QNNs compare to classical neural networks, where they have potential performance advantages, and what their integration into enterprise workflows could look like. We will explore both the opportunities and current limitations, while engaging participants in mapping out problems in their own domains that might benefit from this emerging approach. 

Quantum security is often framed around cryptography and communications, yet the true challenge is broader: creating the standards and governance structures that will define how nations and industries secure this technology for decades to come. At stake is not just which technical pathway wins, but how the world builds trust and interoperability in quantum. Standards and governance will shape whether fragmented national strengths can converge into a secure global system. This keynote explores how security priorities differ across national strategies, what those differences reveal about the future of the global ecosystem, and ultimately, how quantum security will be achieved by design.