activity
20192025
most citedFitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets

15 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

hep-ph2025★ 1 cited

Searching for HWW Anomalous Couplings with Simulation-Based Inference

Marta Silva, Ricardo Barrué, Inês Ochoa +1

Understanding the source of the universe's asymmetry between matter and antimatter is one of the major open questions in particle physics. In this work, the sensitivity of novel ma…

hep-ph2022★ 15 cited

Fitting a Collider in a Quantum Computer: Tackling the Challenges of Quantum Machine Learning for Big Datasets

Miguel Caçador Peixoto, Nuno Filipe Castro, Miguel Crispim Romão +2

Current quantum systems have significant limitations affecting the processing of large datasets with high dimensionality, typical of high energy physics. In the present paper, feat…

physics.ins-det2022

The Phase-I Trigger Readout Electronics Upgrade of the ATLAS Liquid Argon Calorimeters

G. Aad, A. V. Akimov, K. Al Khoury +195

The Phase-I trigger readout electronics upgrade of the ATLAS Liquid Argon calorimeters enhances the physics reach of the experiment during the upcoming operation at increasing Larg…

hep-ph2021★ 7 cited

High-dimensional Anomaly Detection with Radiative Return in Collisions

Julia Gonski, Jerry Lai, Benjamin Nachman +1

Experiments at a future collider will be able to search for new particles with masses below the nominal centre-of-mass energy by analyzing collisions with initial-stat…

physics.ins-det2019★ 2 cited

Performance and Quality Control of a Radiation-Hard 12-bit 40 MSPS ADC for the ATLAS Liquid Argon Calorimeter Trigger Readout Electronics Phase-I Upgrade at the LHC

T. Andeen, J. Ban, G. Brooijmans +7

A radiation-hard quad-channel 12-bit 40 MSPS pipeline analog-to-digital converter (ADC) has been designed for the trigger readout electronics Phase-I upgrade of the ATLAS Liquid Ar…