Quantum Machine Learning: a Google tech talk from 2014

One of these first days of the new year of 2017 I watched with curiosity the video below featuring Seth Lloyd PhD talking about Quantum Mechanics and Machine Leaning. The two topics haven’t had, up until recently much in common. The only thing that could be of common ground was the advanced statistical theories and techniques employed by the two fields.

But in this talk, Dr. Lloyd gives an overview of quantum mechanics and a sub-field of this Physics sub-field which recently has seen major developments: quantum information and quantum computers. Dr. Llyod also heads the MIT’s Quantum Information Group at Research Laboratory of Electronics (RLE). The relaxed conversation of Seth Lloyd is to a qualified small audience about these topics, that were from a diversified background, but mostly from a Computer Science one.

The nice bullet points that made me want to share here in The Information Age this video is precisely the way the speaker convey very complex and hard issues in a difficult topic that is intelligible. In doing so we see that the also computational intensive field of Machine Learning (these days of 2017 more deep learning…) can look with ease and openness to quantum information and quantum computation. The two fields can only do better and better by joining forces, synergies and capabilities. The end result is surely promising, just to say the very least. The part of the video that liked the most is when Dr. Seth Lloyd explained the topic of Topological Big Data analysis and how some research that he was involved with, as well as other researchers, found implementations with some advances in quantum computation.

And the obvious interactions of Big Data Analytics, Data Science and Machine Learning (and Artificial Intelligence…) wrapped up with this new by now emergent field of quantum computation makes for exciting listening. And enticing of the scientific/technological mind and imagination.



Following the point on topological data analysis, it is worth noting how the presenter talks about the ways in which manipulations of quantum information are enhanced and improved by superconducting circuits or optical methods. Quantum random access memory (QRAM)  and other techniques in quantum information processing are all well accommodated in the puzzle. Hope this to be worth a nice hour and ten minutes spent by the viewers

body text image: A novel delay & Quantum Cost efficient reversible realization of 2i× j Random Access Memory

featured image: Topological Data Analysis: visual presentation of multidimensional data sets

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