The SwissMAP Annual General Meeting will take place from August 30 to September 2, 2026 at the SwissMAP Research Station (Les Diablerets). The programme features : Confirmed speakers include: Matthias Christandl (University of Copenhagen) Victor Gorbenko (EPFL) Martin...

More information will be shared in autumn 2026. Mini-courses by: Eva Miranda (Universitat Politècnica de Catalunya, ICREA Academia): contact geometry and fluid mechanics Ingo Runkel (University of Hamburg): TQFTs with defects Yilin Wang (ETH Zurich): 3d hyperbolic...

The workshop brings together researchers in stochastic analysis and related fields to exchange ideas and present recent developments. It will provide a platform for participants learning from each other, discussing new models and methods, and exploring emerging...

Deep neural networks, and in particular transformer architectures, have become a cornerstone of modern machine learning, driving unprecedented advances in Artificial Intelligence (AI). Yet the mechanisms by which these models learn and process information through...

The SwissMAP Research Station 2026 program is out!

Originating in classical mechanics, Hamiltonian geometry is currently an active and flourishing area of symplectic geometry with many connections to other fields, both within and outside mathematics. Loosely speaking, the main objects of study are spaces on which the...

Scattering amplitudes in physics, which predict particle interactions, are calculated by evaluating complicated multidimensional “Feynman integrals”. Expressing Feynman integrals in terms of known special functions is deeply rewarding: on the one hand, it gives access...

Quantum key distribution (QKD) offers unconditional security based (in principle) solely on the laws of physics. This level of security is unprecedented – classical cryptography always relies on assumptions about the computational hardness of certain problems, leaving...

Many moduli spaces of interest in mathematics and theoretical physics carry rich geometric structures, including symplectic or Poisson structures and their relatives. Quantization of these moduli spaces links to several different areas of mathematics and theoretical...

Complex networks naturally arise in contexts as diverse as data science, ecology, engineering, and sociology. They concern a significant portion of the scientific community and society, especially when modeling various aspects of reality. From a mathematical...