A quantum network of entangled atomic clocks

For the first time, scientists at the University of Oxford have been able to demonstrate a network of two entangled optical atomic clocks and show how the entanglement between the remote clocks can be used to improve their ...

Neural networks predict forces in jammed granular solids

Granular matter is all around us. Examples include sand, rice, nuts, coffee and even snow. These materials are made of solid particles that are large enough not to experience thermal fluctuations. Instead, their state is ...

First studies with Quantum Machine Learning at LHCb

The LHCb experiment at CERN recently announced the first proton-proton collisions at a world-record energy with its brand-new detector designed to cope with much more demanding data-taking conditions.

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