Our resources

CERN openlab undertakes significant outreach activities in support of its technical work, with project results presented at a wide range of major international conferences. Below you can find our latest annual reports, technical documents, presentations, member case studies, press coverage, and videos. You can also find our 2017 whitepaper on future ICT challenges in scientific research here.

Technical documents

Find the latest technical documents published by members of our collaboration below.

Title Date File
Platform for Reproducible Analyses

This report investigates how to create reproducible analyses by providing a systemic approach for general users to follow best research practises. It bases on REANA, a dedicated tool for analysis reproducibility developed by CERN.

Exploring hybrid quantum-classical neural networks for particle tracking

The High Luminosity Large Hadron Collider (HL-LHC) at CERN will involve a significant increase in the complexity and sheer size of data with respect to the current LHC experimental complex.

Performance of Particle Tracking Using a Quantum Graph Neural Network

The Large Hadron Collider (LHC) at the European Organisation for Nuclear Research (CERN) will be upgraded to further increase the instantaneous rate of particle collisions (luminosity) and become the High Luminosity LHC.

Quantum Track Reconstruction Algorithms for non-HEP applications

The expected increase in simultaneous collisions creates a challenge for accurate particle trackreconstruction in High Luminosity LHC experiments. Similar challenges can be seen in non-HEPtrajectory reconstruction use-cases, where tracking and track evaluation algorithms are used.

HIOS: Heterogeneous I/O for Scale

The project HIOS aims to investigate ways of providing efficient interfaces for I/O intensive applications.



Find the latest presentations by members of our collaboration below.

Presentation title Relevant event Date File
CERN Science 4 Open Data (CS4OD): use cases for the life science ExaHealth 2021: Exascale computing and machine learning for public health 18-10-21
Federated learning application in cancer patient data analysis NMIMS - SEEIIST Meeting 22-09-21
Data Platform for collection, storage, integration, analysis and distribution First CERN openlab summer student lightning talk session 08-09-21
Embedding of particle tracking data using hybrid quantum classical neural networks CHEP 2021 20-05-21
Hybrid Quantum-Classical Graph Neural Networks for Track Reconstruction Quantum Technology Initiative meeting 26-04-21

Member case studies

Find all the latest announcements, press releases, blog posts, and videos from our collaborators below.

Title Date File
New computational platform to study biological processes

Scientists have launched a unique software that is able to perform highly complex simulations of a variety of biological processes. 

IBM welcomes CERN as a new hub in the IBM Quantum Network

Particle physics is at the core of our understanding of the fundamental laws governing Nature. To shed light on the sub-atomic scale, humans engineered powerful particle accelerators that can disclose the fundamental laws governing the universe.

Introduction with CERN openlab’s Maria Girone | Intel Software Vodcast

Maria Girone gives an overview of CERN, the technologies and science behind various experiments, and an overview of what their recent interns have done using oneAPI technology.

CERN & IBM Research Exploring quantum computing for high energy physics

This is a recording of a live discussion of Alberto Di Meglio, Head of CERN openlab, with IBM considering their joint collaboration on Quantum computing.

E4 Computer Engineering, not just Hpc

High Performance Computing (HPC) refers to computing technologies used by clustered computers to have high-performance computing capabilities, using parallel computing. In fact, the best Italian expression that can be used instead of the acronym is "high performance calculation".