A rigorous pathway for researchers. Master the machinery of Linear Representations, Lie Groups, and Equivariance for Geometric Deep Learning and Quantum Computing.
Designed for the technical elite
From the Standard Model of particle physics to the design of quantum error correcting codes, symmetry is the unifying principle. Yet, most resources either drown you in pure abstraction or hand-wave the math entirely.
By defining operations that respect symmetries—a property known as equivariance—models like Graph Neural Networks (GNNs) and SE(3)-Transformers learn far more efficiently. This track moves beyond heuristics, offering formal mastery of Lie groups and Representation Theory.
You will leave with the mathematical maturity to read and implement papers on Gauge Equivariant CNNs and Stabilizer Codes without getting lost in the notation.
Build a solid foundation in abstract group theory, linear representations, characters, and the fundamental concepts for discrete symmetries.
Dive deep into the machinery of SU(2), SO(3), and SE(3). Master the connection between Lie groups and their algebras through the exponential map.
Apply theory to Equivariant Neural Networks, Quantum Information (Stabilizer formalism), and particle physics symmetries.
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 29, 2026
The official start of Group Theory 360.
Connect formal concepts to active research. Featuring guest speakers from industry labs and top universities discussing applications in Equivariant AI and Quantum Error Correction.
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 29.
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 with the February bridge course.
Secure your place