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.

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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.

Quantum Gate Pattern Recognition and Circuit Optimization for Scientific Applications

There is no unique way to encode a quantum algorithm into a quantum circuit. With limited qubit counts, connectivities, and coherence times, circuit optimization is essential to make the best use of near-term quantum devices.



Find the latest presentations by members of our collaboration below.

Member case studies

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

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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".

On Demand Webinars: High Performance Computing for Research in Government and Education with Oracle

From the depths of outer space to the microscopic cells that make up the human body, Oracle Cloud Infrastructure is the computing powerhouse behind some of the most groundbreaking scientific discoveries of our time.

Surrey develops a breakthrough new simulation platform

Computer scientists from the University of Surrey have helped to create state-of-the-art software that could be used to simulate how the brain develops or cancers progress, allowing healthcare professionals to develop better treatment strategies.

CERN Accelerates Simulation Workloads with AI

In order to help address future needs for CERN’s LHC (Large Hadron Collider—the world’s largest particle accelerator), researchers at CERN, SURFsara, and Intel have been rethinking approaches for supplying extraordinary new levels of Monte Carlo-based simulations.

Accelerating Science with CERN and Oracle

Eric Grancher, Head of Database Services Group at CERN, explains the immense scale of CERN's work, the use of Oracle technologies, and the collaboration with Oracle.