About the project
You'll explore how principles of quantum information flow and probabilistic entanglement can enhance coordination, adaptability, and resilience in multi-robot systems. The project bridges quantum technologies and embodied swarm intelligence, aiming to create a new class of collective robotic systems that think and act beyond classical limits.
As part of this project, you'll investigate how physical principles of quantum information transfer can be embedded into swarm robotic systems to achieve new forms of distributed intelligence. Unlike existing “quantum-inspired” algorithms that mimic quantum computation mathematically, this work explores how quantum communication, sensing, and probabilistic entanglement can underpin real swarm interactions in the physical world.
This project will design a hybrid architecture combining classical control loops with a quantum-inspired information layer, implemented in simulation and on a testbed in indoor (small wheeled or dog-like legged robots) and outdoor environments (UAVs). By simulating partial entanglement using probabilistic coupling and adaptive communication channels, we'll study how information correlation affects resilience, adaptability, and task completion in complex environments.
Expected outcomes include:
- a theoretical framework for embodied quantum information flow in multi-robot systems
- an experimental demonstration of swarming behaviour, such as aggregation or flocking, emerging from probabilistic coupling
- design principles for integrating quantum-inspired reasoning into physically deployed robots
This work moves beyond metaphor, proposing a new computational-physical synthesis of quantum and swarm intelligence that could inform future hybrid quantum-robotic systems. We expect you to have a strong background in mathematics and high proficiency in at least one programming language. Experience or prior knowledge in quantum technology is an advantage.
To learn more, please read the following relevant papers:
