
Quantum dance of a single atom with a miniature Bose-Einstein condensate
Predicting the movements of three interacting particles is a hallmark example for a difficult problem in classical mechanics - under most circumstances it is unsolvable. For example the mutually dependent orbits of the moon, the earth and the sun can only be predicted up to a certain accuracy. In the quantum world understanding such few-body systems is no simpler and the experimental investigation of their inner workings is very often complicated by their microscopic scales. An important example for quantum few-body systems are atomic nuclei, that consist of a small number of protons and neutrons; large particle accelerators are needed to explore atomic nuclei experimentally.
In our work, we accurately investigate the effects of interactions in an accessible model few-body quantum system with large length and low energy scales; ultracold bosonic Rubidium and fermionic Potassium atoms are trapped at the sites of on optical lattice, an artificial crystal made of laser light. On each site of the crystal a miniature Bose-Einstein condensate of Rubidium atoms interacts with a single fermionic Potassium atom. Using a novel, tricky detection scheme we accurately observe the interplay of interactions, finding that the presence of a single fermionic atom can also mediate interactions between the bosons. Our system may help to better understand theoretical models of atomic nuclei and shows the feasibility of advanced schemes of quantum computation and quantum memory, where one atomic species is used for data storage and the other one for the actual computation.
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EY10611
Spotting efficient broadcasters and receivers
Interactions such as ``who dated whom'', ``who phoned whom'', ``who emailed whom'', and ``who Facebook-friended whom'' do not remain static. They evolve over time. This can have important implications when we try to understand the spread of rumours, opinions, malware or diseases. If Amy meets Bob in the morning and Bob meets Coleen in the afternoon, then an infection, or a piece of gossip, can be passed from Amy to Coleen, but not from Coleen to Amy. If we don't keep track of the order of those interactions, then we can't make accurate summaries. In this work, we show how to incorporate time's arrow into the types of computer algorithms that are becoming widely usedin the field of Social Network Analysis. We apply this new technique to email data within the Enron corporation and cell phone data in a university laboratory, showing how to spot the efficient broadcasters (good places to plant a rumour) and receivers (good places to find out the latest rumour).

