2025-09-14 –, Ballroom 1
What happens when you combine quantum computing, neuroscience, and reinforcement learning—all in Python? This talk explores how parameterized quantum circuits can be used as “brains” for agents inspired by the nematode C. elegans, and how these agents learn to navigate their world using reinforcement learning. We’ll see how quantum and classical approaches compare, and what this means for the future of AI and quantum machine learning.
Can quantum computing help us build smarter, more efficient learning agents? In this talk, we’ll dive into a Python project that simulates the behaviour of the nematode C. elegans using reinforcement learning—once with a classical neural network, and once with a quantum circuit as the agent’s brain.
We’ll cover:
- The neuroscience inspiration: why C. elegans is a model organism for both biology and AI.
- How to encode sensory features and actions for both quantum and classical agents.
- The basics of variational quantum algorithms and how parameterized quantum circuits can be trained using reinforcement learning.
- How Python (with Qiskit and PyTorch) enables rapid prototyping and benchmarking of these agents.
- What we learn from comparing quantum and classical brains: learning speed, sample efficiency, and emergent behaviours.
- Live demos and visualizations of agents learning to solve mazes and perform chemotaxis.
Whether you’re a quantum enthusiast, ML practitioner, or just curious about the intersection of biology and AI, you’ll leave with new ideas and practical tools for exploring these fields in Python.
Chris is a software engineer passionate about the intersection of neuroscience, machine learning, and quantum computing.
He’s currently a Staff Software Engineer at Q-CTRL, building applications to tune and optimize quantum computers. Previously, he was the CTO and co-founder of startups in online education and brain-computer interfaces.
Outside of work, Chris enjoys exploring new technologies, hiking along Australia's coasts and bushland, and playing video games.