The NEASQC project is organising a series of webinars that are not a simple overview of the NISQ Quantum Computing use cases investigated by our project, but a platform to learn from and exchange with the best experts in the fields covered by NEASQC. Our Work Package 5 prepared a programme of four weekly webinars between 5 and 24 November, dedicated to Machine learning and optimization methods. Each week, a distinguished guest speaker will share their insights on the day’s topic, and NEASQC experts will then explain how NEASQC is addressing the issue through a specific use case.
Dr Vedran Dunjko, Leader of the Work Package 5 (Machine Learning & Optimisation) in the NEASQC project, Assistant Professor at Leiden University
Dr Martin Leib, Quantum Algorithm Researcher at Data:Lab Munich, Volkswagen AG
Progress in QAOA
Dr Jeanne Pellerin, R&D Project Manager Computational Geometry & Meshing at TotalEnergies
Mesh Generation From Practice to Theory
Abstract: Meshes are ubiquitous in computer science, they define the geometry of the virtual representations of objects and permit to study the physical properties of their real world counterparts. In engineering, meshes have a key role in most scientific computation methods and are a prerequisite to reliable and efficient numerical simulations. Unstructured meshes allow size, orientation and shape variations, that are necessary for some numerical methods. The objective of my research work is to develop algorithms to generate unstructured meshes in three dimensions, a topic that combine computational geometry, computational physics and computer science challenges. In this talk, I will describe the challenges of working on with 3D models in practice, then I will focus on algorithms for 3D mesh generation. This work led me to study the underlying theoretical questions of computational geometry, the last part of the talk will focus on my contributions to the enumeration of the combinatorial subdivisions of polyhedra into tetrahedra or hexahedra