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20172026
most citedEffective description of general extensions of the Standard Model: the complete tree-level dictionary

308 citations · 1.1k across the 34 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

hep-ph2022★ 2 cited

LHC EFT WG Note: Precision matching of microscopic physics to the Standard Model Effective Field Theory (SMEFT)

Sally Dawson, Admir Greljo, Kristin Lohwasser +16

This note gives an overview of the tools for the precision matching of ultraviolet theories to the Standard Model effective field theory (SMEFT) at the tree level and one loop. Sev…

hep-ph2022★ 6 cited

QFitter -- A Quantum Fitting Framework Applied to Effective Field Theories

Juan Carlos Criado, Roman Kogler, Michael Spannowsky

The use of experimental data to constrain the values of the Wilson coefficients of an Effective Field Theory (EFT) involves minimising a function that may contain local minim…

cond-mat.str-el2022★ 4 cited

Identifying magnetic antiskyrmions while they form with convolutional neural networks

Jack Y. Araz, Juan Carlos Criado, Michael Spannowsky

Chiral magnets have attracted a large amount of research interest in recent years because they support a variety of topological defects, such as skyrmions and bimerons, and allow f…

quant-ph2022★ 1 cited

Qade: Solving Differential Equations on Quantum Annealers

Juan Carlos Criado, Michael Spannowsky

We present a general method, called Qade, for solving differential equations using a quantum annealer. The solution is obtained as a linear combination of a set of basis functions.…

quant-ph2022★ 35 cited

Completely Quantum Neural Networks

Steve Abel, Juan C. Criado, Michael Spannowsky

Artificial neural networks are at the heart of modern deep learning algorithms. We describe how to embed and train a general neural network in a quantum annealer without introducin…