Outputs (2)

Unsupervised event classification with graphs on classical and photonic quantum computers (2021)
Journal Article
Blance, A., & Spannowsky, M. (2021). Unsupervised event classification with graphs on classical and photonic quantum computers. Journal of High Energy Physics, 2021(8), https://doi.org/10.1007/jhep08%282021%29170

Photonic Quantum Computers provide several benefits over the discrete qubit-based paradigm of quantum computing. By using the power of continuous-variable computing we build an anomaly detection model to use on searches for New Physics. Our model use... Read More about Unsupervised event classification with graphs on classical and photonic quantum computers.

Quantum machine learning for particle physics using a variational quantum classifier (2021)
Journal Article
Blance, A., & Spannowsky, M. (2021). Quantum machine learning for particle physics using a variational quantum classifier. Journal of High Energy Physics, 2021, Article 212. https://doi.org/10.1007/jhep02%282021%29212

Quantum machine learning aims to release the prowess of quantum computing to improve machine learning methods. By combining quantum computing methods with classical neural network techniques we aim to foster an increase of performance in solving clas... Read More about Quantum machine learning for particle physics using a variational quantum classifier.