A specialised pathway for researchers and industry professionals. Master the principles of symmetry in modern physics, quantum information, and geometric deep learning.
From the Standard Model of particle physics to the design of quantum error correcting codes, symmetry is the unifying principle. Group theory provides the rigorous language needed to describe these fundamental concepts.
By defining operations that respect symmetries—a property known as equivariance—models like Graph Neural Networks (GNNs) learn far more efficiently. This formal approach uses the language of group actions and representations to mirror the fundamental principles of symmetry found in nature.
This track is designed to move beyond heuristic arguments, offering a formal mastery of Lie groups (SU(2), SO(3)) and discrete groups crucial for Quantum Computing and AI Research.
Build a solid foundation in abstract group theory, representations, and the fundamental concepts for both discrete and continuous symmetries.
Dive deep into the machinery of SU(2), SO(3), and U(1). Master the connection between Lie groups and their algebras through the exponential map.
Apply theory to Geometric Deep Learning (Equivariant NNs), Quantum Information (Stabilizer formalism), and the Standard Model.
Join early to access the prerequisite bridge course.
A dedicated live & recorded refresher series on Topology, Manifolds, and Linear Algebra to ensure you are mathematically ready.
March 19, 2025
The official start of Group Theory 360. Live lectures begin, focusing on Group Axioms and discrete symmetries.
Connect formal concepts to active research. Featuring guest speakers from industry labs and top universities discussing applications in AI and Quantum Tech.
A good grasp of Linear Algebra and Calculus is assumed. However, Early Bird enrollees get exclusive access to our February Prep Series, where we review Topology, Manifolds, and essential math foundations to ensure you are fully prepared before the main cohort begins on March 19.
It is strictly both. The philosophy of Quantum Formalism is that you cannot apply what you do not deeply understand. The programme is proof-based to build a solid foundation, but every concept is chosen for its relevance to Geometric Deep Learning, Particle Physics, and Quantum Information.
No problem. All sessions are recorded and available within 24 hours. You retain lifetime access to these recordings.
Join the March cohort. Secure the 60% Early Bird discount and start your prep in February.
Secure your place