Abstract: Quantum software can be a force multiplier that can significantly shorten the timeline for utility-scale results from quantum hardware. In particular, several key research directions will help realize practical quantum advantage. Physics-aware, cross-layer optimizations will continue to yield important efficiencies to…

Abstract: As Graph Neural Networks (GNNs) increasingly analyse sensitive relational data, protecting the privacy of underlying nodes and edges has become a critical challenge, often characterized by trade-offs between privacy guarantees, model utility, and computational efficiency. In this talk, I will present two independent yet…