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Over the last year I've worked with some awesome folks (  ,  , ,    , ) to understand how people collaborate on data analysis and to build better tools to support them. Yesterday, with the help of  and  we revealed this work at PyCon APAC.

We've created an interactive, collaborative analytics tool by integrating Google Docs, Chrome, and IPython. You can open a notebook from Drive. You can share notebooks like you would share a Google Doc. You can comment and edit collaboratively, in realtime. There is zero setup, because all the computation happens in Chrome. You can even quickly and easily package your analytics pipeline into a GUI for folks that don't want to program. In effect, you can go from zero to analytics with little impedance.

What's even better is that you can build on our work. It will all be open source on top of public Google APIs. We'll have a larger Google Research blog post about this work when we release the code and the Chrome application.﻿
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There's a new PRL up today by ,  and me, in which we show how to learn the properties of a quantum system using a quantum simulator as a resource.﻿
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♥﻿
Back in Ontario after what was a fun and productive trip. A few mil— er, kilometers, until home, but almost there.﻿
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Testing MathJax... again.
Please bear with me, as I'm testing adding MathJax again. $\ket{\psi}$﻿