This lecture is organised as part of the CERN QTI online lecture series.

The representation of data is of paramount importance for machine learning methods. Kernel methods are used to enrich the feature representation, allowing better generalisation. Quantum kernels implement efficiently complex

This lecture is organised as part of the CERN QTI online lecture series.

In this talk, we will dive into the topic of barren plateaus and investigate a new method to avoid them. Barren plateaus appear to be a major obstacle for using variational quantum algorithms to simulate large-scale quantum

This lecture is organised as part of the CERN QTI online lecture series.

In this seminar, the speakers present a novel method for simulating the noisy behavior of quantum computers, which allows to efficiently incorporate environmental effects in the driven evolution implementing the gates on the

Registration is now open for the International Conference on Quantum Technology for High-Energy Physics, which will be hosted at CERN on 1–4 November 2022.

Following CERN’s successful workshop on quantum computing in 2018, this is the first edition of the QT4HEP conference taking place to further

Over the last 20 years, searches for dark matter above the proton mass have advanced significantly across direct and indirect searches, but sub-GeV dark matter has until recently been comparatively unprobed. In this talk, Noah Kurinsky of SLAC National Accelerator Laboratory will discuss the state