News

Two projects awarded QSE Collaborative Research Fellowships

Published:27.09.22 — The inaugural Quantum Science and Engineering Research Fellowship grants have been awarded to two outstanding collaborative projects: one from Giuseppe Carleo and Nicola Marzari, and the other from Christophe Galland and Giovanni Boero.

Two QSE Collaborative Research Fellowships awarded

Published:13.09.22 — Two Quantum Science and Engineering Research Fellowship grants have been awarded to the collaborative projects of Giuseppe Carleo and Nicola Marzari and Christophe Galland and Giovanni Boero.

Giuseppe Carleo brings expertise in quantum computing to NCCR MARVEL

Published:30.08.22 — Giuseppe Carleo arrived at EPFL in September 2020 as assistant professor and is head of the Computational Quantum Science Laboratory in the School of Basic Sciences. He has joined NCCR MARVEL in phase III as project leader of the Bonus project Leveraging Quantum Computers and Algorithms for Materials Discovery.

New quantum technology combines free electrons and photons

Published:24.08.22 — Scientists from EPFL, the Max Planck Institute for Multidisciplinary Sciences and the University of Göttingen have successfully created electron-photon pairs for the first time in a controlled way, using integrated photonic circuits on a chip. Using a new technique, they could precisely detect the involved particles. The findings of the study expand the toolbox of quantum technology.

Benea-Chelmus recognized at Women in Ultrafast Science Global Award

Published:09.08.22 — Professor Cristina Benea-Chelmus, head of EPFL School of Engineering’s Hybrid photonics laboratory (HYLAB), was rewarded with the 3rd place at the 1st Women in Ultrafast Science Global Award highlighting her work in integrated terahertz devices for metrology, waveform synthesis and sensing.

'Ghost' electrons used to reconstruct behaviour of quantum systems

Published:04.08.22 — Physicists at EPFL and the Flatiron Institute’s Center for Computational Quantum Physics have created a new way to simulate quantum entanglement between interacting particles. Their approach involves adding extra, fictitious particles controlled by an artificial intelligence technique called a neural network.