Horizon Europe (2021 - 2027)

ERC Consolidator GrantsThe Bootstrap Program for Quantum Field Theory: QFTinAdS

Last update: Oct 6, 2023 Last update: Oct 6, 2023

Details

Locations:France
Start Date:Sep 1, 2023
End Date:Aug 31, 2028
Contract value: EUR 1,930,051
Sectors:Research, Science & Innovation
Research, Science & Innovation
Categories:Grants
Date posted:Oct 6, 2023

Associated funding

Associated experts

Description

Programme(s): HORIZON.1.1 - European Research Council (ERC) 

Topic(s): ERC-2022-COG - ERC CONSOLIDATOR GRANTS

Call for proposal: ERC-2022-COG

Funding Scheme: HORIZON-ERC - HORIZON ERC Grants

Grant agreement ID: 101087025

Objective: The importance of quantum field theory (QFT) in modern theoretical physics is hard to overstate. Nevertheless a proper mathematical framework to describe field theories is still lacking. This is felt most concretely in the world of scattering amplitudes, whose general properties are difficult to define from existing axioms. This hampers our ability to make progress in understanding strongly coupled field theories. In contrast, for conformal field theories (CFTs) there has been remarkable progress in recent years. The key ingredient here is the operator product expansion, which both significantly constrains correlation functions and whose associativity conditions can be analyzed numerically. These techniques are however only suitable for theories with a conformal symmetry, which normally only emerges at the endpoints of finely tuned RG flows. To advance the non-perturbative understanding of strongly coupled non-conformal QFTs new methods are needed. Among other things it is imperative to grasp the non-perturbative structure of scattering amplitudes. I propose to follow two interlinked paths based on recent results. The first approach concerns the flat-space limit of a QFT in a fixed hyperbolic background known as Anti de-Sitter (AdS) space. The second approach can be called the numerical S-matrix bootstrap. Both approaches hold great promise, but by pursuing them jointly I will be able to optimally leverage insights from one approach into the other.

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