Tue, 03 Feb 2026
15:00
L6

Divergence in groups with micro-supported actions

Letizia Issini
Abstract
The divergence of a group is a quasi-isometry invariant that measures how difficult it is to connect two points while avoiding a ball around the identity. It is easy to see that it is linear for direct products and deduce the same result for branch groups (a class of groups acting on rooted trees, for example the Grigorchuk group). I will discuss divergence for weakly branch groups, in particular the Basilica group. I will also present a generalisation for certain groups admitting a micro-supported action on a Hausdorff topological space, i.e containing elements with arbitrarily small support.
Joint work in progress with D. Francoeur and T. Nagnibeda
Tue, 27 Jan 2026
15:00
L6

JSJ decomposition and generalized Baumslag-Solitar groups

Dario Ascari
Abstract

The theory of JSJ decomposition plays a key role in the classification of hyperbolic groups, in analogy with the case of 3-manifolds. While this theory can be extended to larger families of groups, the JSJ decomposition displays significant flexibility in general, making a complete understanding of its behaviour more challenging. In this talk, Dario Ascari explores this flexibility, with an emphasis on the case of generalized Baumslag-Solitar groups.

Tue, 20 Jan 2026
15:00
L6

Waist inequalities on groups and spaces

David Hume
Abstract
The waist inequality is a topologist's version of the rank-nullity theorem in linear algebra. It states that for any continuous map from a ball of radius $R$ in $\mathbb R^n$ to $\mathbb R^q$ there is a point in $\mathbb R^q$ whose preimage is comparable in size to the ball of radius $R$ in $\mathbb R^{n-q}$.
 
There are now several proofs of this remarkable result. This talk will focus on a particular "coarse" version due to Gromov that lends itself to applications in coarse geometry and geometric group theory. I will formally introduce these new tools, explain the (few) things we already know about them, and give many suggestions for things we really ought to know.
Tue, 30 Sep 2025
13:00
L6

Path integrals and state sums for general defect TQFTs

Kevin Walker
(Q)
Abstract

For homogeneous, defect-free TQFTs, (1) n+\epsilon-dimensional versions of the theories are relatively easy to construct; (2) an n+\epsilon-dimensional theory can be extended to n+1-dimensional (i.e. the top-dimensional path integral can be defined) if certain more restrictive conditions related to handle cancellation are satisfied; and (3) applying this path integral construction to a handle decomposition of an n+1-manifold yields a state sum description of the path integral.  In this talk, I'll show that the same pattern holds for defect TQFTs.  The adaptation of homogeneous results to the defect setting is mostly straightforward, with the only slight difficulty being the purely topological problem of generalizing handle theory to manifolds with defects.  If time allows, I'll describe two applications: a Verlinde-like dimension formula for the dimension of the ground state of fracton systems, and a generalization, to arbitrary dimension, of Ostrik's theorem relating algebra objects to modules (gapped boundaries).

Mon, 16 Jun 2025
13:00
L6

An Introduction to the ZX-calculus

Martin Daan van IJcken
Abstract

 

Abstract: This talk introduces the ZX-calculus, a powerful graphical language for reasoning about quantum computations. I will start with an overview of process theories, a general framework for describing how processes act upon different types of information. I then focus on the process theory of quantum circuits, where each function (or gate) is a unitary linear transformation acting upon qubits. The ZX-calculus simplifies the set of available gates in terms of two atomic operations: Z and X spiders, which generalize rotations around the Z and X axes of the Bloch sphere. I demonstrate how to translate quantum circuits into ZX-diagrams and how to simplify ZX diagrams using a set of seven equivalences. Through examples and illustrations, I hope to convey that the ZX-calculus provides an intuitive and powerful tool for reasoning about quantum computations, allowing for the derivation of equivalences between circuits. By the end of the talk listeners should be able to understand equations written in the ZX-calculus and potentially use them in their own work.

Tue, 17 Jun 2025
16:00
L6

Quantum Chaos, Random Matrices, and Spread Complexity of Time Evolution.

Vijay Balasubramanian
(University of Pennsylvania)
Abstract

I will describe a measure of quantum state complexity defined by minimizing the spread of the wavefunction over all choices of basis. We can efficiently compute this measure, which displays universal behavior for diverse chaotic systems including spin chains, the SYK model, and quantum billiards.  In the minimizing basis, the Hamiltonian is tridiagonal, thus representing the dynamics as if they unfold on a one-dimensional chain. The recurrent and hopping matrix elements of this chain comprise the Lanczos coefficients, which I will relate through an integral formula to the density of states. For Random Matrix Theories (RMTs), which are believed to describe the energy level statistics of chaotic systems, I will also derive an integral formula for the covariances of the Lanczos coefficients. These results lead to a conjecture: quantum chaotic systems have Lanczos coefficients whose local means and covariances are described by RMTs. 
 

Mon, 26 May 2025
13:00
L6

QFT-universality from String Theory

Maria Nocchi
Abstract

String-inspired methods have revealed deep connections between seemingly unrelated field theories. A striking example is the double copy structure, rooted in the string theory Kawai–Lewellen–Tye (KLT) relations. In this talk, we will explore how a variety of theories—including colored scalars, pions, and gluons—emerge from a single, unifying object: the KLT kernel. We will argue that this kernel is not only a powerful computational tool, but also a conceptually rich structure worthy of independent study.

Based mainly on https://arxiv.org/abs/1610.04230 and the recent work https://arxiv.org/abs/2505.01501.

Tue, 20 May 2025
14:00
L6

Dehn functions of Bestvina--Brady groups

Matteo Migliorini
(Karlsruhe Institute of Technology)
Abstract

Bestvina--Brady groups were first introduced by Bestvina and Brady for their interesting finiteness properties. In this talk, we discuss their Dehn functions, that are a notion of isoperimetric inequality for finitely presented groups and can be thought of as a "quantitative version" of finite presentability. A result of Dison shows that the Dehn function of a Bestvina--Brady group is always bounded above by a quartic polynomial.

Our main result is to compute the Dehn function for all finitely presented Bestvina--Brady groups. In particular, we show that the Dehn function of a Bestvina--Brady group grows as a polynomial of integer degree, and we present the combinatorial criteria on the graph that determine whether the Dehn functions of the associated Bestvina--Brady group is linear, quadratic, cubic, or quartic.

This is joint work with Chang and García-Mejía.

Mon, 19 May 2025
13:00
L6

Mellin transforms for recursive sums of Feynman integrals

Paul-Hermann Balduf
Abstract

In recent meetings of the journal club, two constructions that have been
discussed are Mellin transforms and chord diagrams. In my talk, I will
continue that thread and review  how a Mellin transform describes the
insertion of subgraphs into Feynman integrals. This operation comes up
in various contexts, as a concrete example, I will show how to compute
the infinite sum of rainbow diagrams in phi^3 theory in 6 dimensions. On
a combinatorial level, the procedure can be encoded by chord diagrams,
or by tubings of rooted trees, which I will mention in passing.
The talk is loosely based on doi 10.1112/jlms.70006 .
 

Fri, 16 May 2025
13:00
L6

Certifying robustness via topological representations

Andrea Guidolin
(University of Southampton)

Note: we would recommend to join the meeting using the Teams client for best user experience.

Abstract
Deep learning models are known to be vulnerable to small malicious perturbations producing so-called adversarial examples. Vulnerability to adversarial examples is of particular concern in the case of models developed to operate in security- and safety-critical situations. As a consequence, the study of robustness properties of deep learning models has recently attracted significant attention.

In this talk we discuss how the stability results for the invariants of Topological Data Analysis can be exploited to design machine learning models with robustness guarantees. We propose a neural network architecture that can learn discriminative geometric representations of data from persistence diagrams. The learned representations enjoy Lipschitz stability with a controllable Lipschitz constant. In adversarial learning, this stability can be used to certify robustness for samples in a dataset, as we demonstrate on synthetic data.
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