Figure 3: Causal hierarchy examples relevant to physics (left) and image classi cation (right).
In the last couple of years, deep learning techniques have transformed the world of artificial intelligence. One by one, the abilities and techniques that humans once imagined were uniquely our own have begun to fall to the onslaught of ever more powerful machines. Deep neural networks are now better than humans at tasks such as face recognition and object recognition. They’ve mastered the ancient game of Go and thrashed the best human players.
Figure 1. Schematic of the setup. [Copyright ©2016 by the American Physical Society]
Physicists have proposed a method for entangling hundreds of atoms, and then entangling a dozen or so groups of these hundreds of atoms, resulting in a quantum network of thousands of entangled atoms. Since small bundles of these entangled groups can function as atomic clocks, this design is the first detailed proposal for a quantum network of atomic clocks.