Quantum Bayesian Networks

October 19, 2018

BayesForge, the movie

Filed under: Uncategorized — rrtucci @ 8:08 pm

Just kidding. What is true is that our “BayesForge, the docker” is now available on AWS (the Amazon cloud). Check out

Bayesforge home page: http://www.bayesforge.com

Bayesforge discourse forum: http://discourse.bayesforge.com

A Meetup talk about Bayesforge: http://www.ar-tiste.com/BayesForgeTalk.pdf


Bayesforge will soon be available on multiple clouds (we are aiming for at least 3 clouds, including at least one in the US and one in China). Versions 1 and 1.1 of BF have been available on AWS for 1.5 years, since April, 2017. But those versions were written in a language specific to the Amazon cloud, whereas the new version 2.0 is a complete rewrite in the Docker language which is very portable across clouds. V2.0 also adds many new features.


October 17, 2018

The Great Power Shift (from West to East)

Filed under: Uncategorized — rrtucci @ 2:09 am

The title of this blog post is a pun on the term The Great Vowel Shift. Despite the irreverent title of this blog post, I found the following BBC radio show to be very interesting, and full of serious insights into world events during the last ten years.

After the Crash, Episode 3 of 5

Professor Ian Goldin examines how the 2008 financial crisis led to a shift in power from West to East.

As I never tire of reminding people, our quantum and classical AI software company artiste-qb.net is incorporated in Ontario, Canada, but it has a branch in Shenzhen, China, headed by our cofounder Dr. Tao Yin who lives in Shenzhen.

Another Western group of qc people with ties to China is the team behind ProjectQ. ProjectQ is a lower quality competitor to my software Qubiter. The two principal authors of ProjectQ wrote it while working for Matthias Troyer at ETH Zurich, but nowadays Matthias works for the Dark Side (Microsoft) and the two authors of ProjectQ work for Huawei, according to their linkedin accounts:

October 16, 2018

How many AI startups exist in the US? What are the best AI grad schools in the US?

Filed under: Uncategorized — rrtucci @ 1:11 am

I’ve been told by people who want to start their own Artificial Intelligence startup: “I can do this, this is not rocket science”. My answer to them is, “Luke, that is why you fail”, that is precisely why it will be super difficult for your startup to succeed. Let us do some due diligence to expose the high degree of difficulty of the task:

Check out this Forbes article:

25 Machine Learning Startups To Watch In 2018 (Aug 26, 2018, Forbes, by Louis Columbus)


  • Crunchbase lists over 5,000 startups who are relying on machine learning for their main and ancillary applications, products and services today.
  • 81% of machine learning startups Crunchbase tracks have had two funding rounds or less with seed, angel and early-stage rounds being the most common.
  • According to KPMG’s Venture Pulse Report, venture capital (VC) investment in artificial intelligence almost doubled in 2017, attracting $12B compared to $6B in 2016.
  • Q2’18 was a second-straight record quarter for total Artificial Intelligence (AI) funding with total investments exceeding $2.3B including eight mega-rounds over $100M according to the latest PwC/CB Insights MoneyTree Report from Q2 2018.

So the amount of American VC funding for AI is close to ten billion dollars per year. But the field is HIGHLY CROWDED already, and the competition is FIERCE. Turns out you are not the first one to think: “I can do this, this is not rocket science”. Tens of thousands of people had the same thought long before you did, and they’ve already built a profitable multi-million dollar company. All you have is a vague, possibly non-functioning, pipe dream.

It gets worse.

According to this article in “US and World News Report”, the 5 best American grad schools in AI are:

  1. Carnegie Mellon University
  2. Massachusetts Institute of Technology
  3. Stanford University
  4. University of California–Berkeley
  5. University of Washington

This is a highly subjective list, but it sort of makes sense. Stanford and Berkeley provide AI worker ants for Silicon Valley, whereas Univ. of Washington does so for Microsoft and Amazon. MIT in the last few decades has been known most of all for its prowess in Genetic Engineering, but that field is closely connected to AI and Big Data. Today MIT announced that it is going to fight Carnegie Mellon for AI supremacy by starting a 1 billion dollar AI school. Check it out:

MIT is investing $1 billion in an AI college(The Verge, Oct 15, 2015, by James Vincent)

So you see chump, it does get worse. That 1 billion dollar school will soon start churning out a continuous stream of AI rocket scientists eager to start their own AI startup that will crush yours.

And China has 4 times the population of the US but it graduates 8 times more people than the US with college degrees in STEM. [Supporting citation for these numbers] And China is investing heavily in AI.

You lose.

October 8, 2018

Poor Dwave, No longer the only game in town

Filed under: Uncategorized — rrtucci @ 4:19 pm

Quantum Computing Report has recently published a webpage that they call “scorecard on qubit-technology”. Their webpage contains the following spreadsheet, which they will probably update in the future, but as of Oct 8, 2018, it looks like this (it lists 55 qc hardware contenders):

This blog has been around for a long time (since Aug 2008). I remember a time when Scott Aaronson and Geordie Rose were in pitched battle for the hearts and minds of qc fandom. In Nov 2011, I declared Geordie Rose the winner of that contest:


If you search this blog under “D-Wave” or “Dwave”, you will see that I’ve had much fun reporting about Dwave through out the years, sometimes positively, sometimes not. But much has happened in qc land since Nov 2011, and one is forced to conclude from the above scorecard that Dwave is no longer the only game in town, now it’s more like one out of 55 games in town. Geordie Rose is not even working at Dwave anymore. He left Dwave in 2014, according to his Linkedin page. So I must declare Scott Aaronson, a.k.a. The Forrelator (Save me mamma!), as the belated winner of that brawl. Of course, Scott hasn’t been super successful since then either, so maybe it’s more of a draw. Scott did win a Cheesy Italian Prize last month (prize must have been a stack of cheese pizzas), but his much publicized Super Boson Sampler failed due to, as was first pointed out by Lubos Motl, a mistake in the assumptions and presumptions of Complexity Theory. Also, Scott’s blog in recent times is as popular as the Maytag repairman’s shop. Nowadays, most of the comments in his blog are either by him, or by right-wing crackpots who enjoy torturing him.

October 1, 2018

谢谢 (Xièxiè, Thank you), CAS and Tsinghua Univ.

Filed under: Uncategorized — rrtucci @ 2:50 am

This week was very important for our company artiste-qb-net. Our cofounder Dr. Tao Yin had the honor of giving a short presentation at a workshop entitled: “Quantum Software: from theory to realization” in Beijing. The workshop was organized by the “Institute of Software: Chinese Academy of Sciences (CAS)“. Our most sincere thanks to the organizers of the workshop for allowing us to speak at the last minute.

Here is a conference agenda:

Here is a photo of Tao giving his presentation:

and here are links to his presentation


While in Beijing, Tao also had the opportunity to visit and do some networking with qc and Bayesian Networks researchers and programmers at Tsinghua Univ (TU), which is considered one of the best technical universities in China, sort of the MIT of China. TU has a student enrollment 3 times as big (11,000 vs, 36,000) as that of MIT, which reminds me that the population of China is about 4 times that of the USA.

TU is a prominent player in China’s $100 billion push to become a quantum computing giant. In 2015, Turing award winner Andrew Yao moved from Princeton Univ. to TU, to head several Chinese academic institutes, some of which are devoted to quantum information and quantum computing. Recently, TU opened a joint quantum institute at the Univ. of Michigan, and second one at the Univ. of Waterloo and the Waterloo-IQC (Institute for quantum computing)

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