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Quantum Computing, 2019 National Academies Study

Quantum Computing Report cover
  • Date: March 30, 2019
  • National Academies of Sciences, Engineering, and Medicine, 2019, Quantum Computing: Progress and Prospects, Washington, DC.

Scientists estimate the time to a working commercial quantum computer at 10 years to maybe never. Error correction needs of qubits pose unknown challenges. A free downloadable study on the state of quantum computing is available from The National Academies Press.

Easy Explanation on How A Quantum Computer Works

This is an old video dated 2013, but has an easy to understand explanation on how a quantum computer works. 2^n is the number of information bits that can theoretically be combined. 2^300 is supposed to be a greater number than the number of [atoms] in the universe. But this is only useful for calculations that can make use of the super-position state. Also, for reading the final result, the quantum computer must drop back out of the super-position state into the normal state. For normal calculations, the quantum computer is projected to be slower than a regular computer.

k-Means Clustering Talk

ISLR book cover

I gave my first short talk on a data science subject to a local Meetup group this week. Here's a shout-out to the group, Serious Data Science. Thanks Deborah, Julius, Elsa, Peter, and others. You guys are so supportive and kind! I don't think I would have read the ISLR book with such attention without all of you helping to keep my motivation high! :-) If you, Reader, live near Sterling, Virginia, please come and join this wonderful Meetup group. We meet monthly on the 2nd Tuesday evenings at REI Systems Inc building.

GARP 20th Conference in NYC

I will be in NYC attending the 20th GARP Risk Conference. The agenda has several sessions on machine learning and AI along with the usual risk topics. I am interested in learning more about how data science and AI is being using by financial institutions. I will also catch up with my former colleagues from the SEC while I am there. Glad the scheduling worked out.

PyData DC 2018 and SciPy Austin 2018

Attended the PyData DC 2018 conference in Tysons Corner, VA over the weekend. I thoroughly enjoyed it. Everybody was very nice and welcoming towards relatively new programmers, like myself. I will post a write-up about several talks/software that caught my attention. This conference was more accessible for me than SciPy in July 2018 at Austin, TX. I come from a business background and have been learning Python and Data Science for only about 1.5 years. Many of the people I talked to at PyData had similar backgrounds. The SciPy community was more deeply into core python package development and were more advanced programmers. The majority seemed to have PhDs in a hard science or math field. For me personally, the learning experience was higher from the SciPy conference in a "tough love" way. But I felt more of a sense of belonging and was happier at the PyData conference. I will also have a writeup of a couple of the tools/talks I found most useful from the SciPy 2018 conference.

Future Topics:

What I am working on: