Quantum Takes Flight: Rethinking How Drones Are Designed with BQP

Link : sptfy.bio/modovolo1

What happens when advanced computation is applied to one of the hardest problems in aerospace engineering?

In a new episode of The Next Big Thing: A Megatrends Podcast, Modovolo CEO Justin Call joins BQP founder and CEO Abhishek Chopra for a conversation about how quantum-inspired computing can be used to explore new approaches to drone design.

Aircraft design is a deeply interconnected problem. Motors, propellers, batteries, weight, efficiency, endurance, payload capacity and other variables all influence one another. Changing one part of the system can create tradeoffs somewhere else.

Traditional engineering methods often approach these problems by narrowing the design space and optimizing individual components or smaller groups of variables. That works, but it can make it difficult to evaluate the enormous number of possible combinations that exist across an entire aircraft.

Quantum-inspired optimization offers a different approach.

Using advanced optimization techniques on classical computers, engineers can evaluate much larger numbers of possible configurations and study how multiple variables interact at the same time. Instead of asking, “What is the best motor?” or “What is the best propeller?”, the more useful question becomes:

What is the best combination of components for the mission the aircraft is actually being designed to perform?

That shift is especially relevant for Modovolo, where modularity and mission flexibility are central to the aircraft platform. Different missions can place very different demands on an aircraft, meaning the “best” design may depend heavily on what the drone is being asked to accomplish.

In the episode, Justin and Abhishek explore how these optimization methods could help engineers search a much broader design space, uncover unexpected combinations, and potentially identify solutions that conventional approaches might overlook.

It’s a conversation about more than quantum computing. It’s about changing the way we think about engineering complex systems.