What software teams need to understand before quantum becomes practical.
Quantum computing sounds like a future breakthrough, but for software teams the important question is more practical: what will it take before quantum becomes something we can actually build with?
Today, the gap is not just about hardware. It is about programming models, tooling, architecture, resource estimation, hybrid execution, and knowing which problems are even worth trying.
In this talk, we explore that gap from an engineering perspective. We will look at how quantum workloads differ from classical computing, why hybrid systems will matter, and how quantum may connect with AI, HPC, cloud platforms, and existing software architectures.
Attendees will leave with a grounded understanding of what quantum advantage really means, why it is hard to achieve, and how technical teams can start preparing without pretending quantum is already production-ready.
