Hello #quantum and #MachineLearning friends. I would like to finally share with you https://quantumalgorithms.org  an open-source set of lectures notes on quantum algorithms, with a particular focus on machine learning and data analysis on #quantumcomputers.
Why? Because there is a huge gap between research papers and educational grade material on quantum algorithms. And it shouldn’t. I believe there should be a simple (but not easy) way to learn “how to quantum algorithm”.
What guided the development of the website is the desire to have a place where students can find all the math (concentration ineq., linear algebra, error propagations) and toolset (quantum subroutine, computational models, etc..) that one needs to write new #quantumalgorithms.
Who is behind this endeavor? It started as a refactoring of my PhD thesis and my old blog. Now also the friend and colleague @ikiga1 is working on it! As it’s an open source project you can find how to contribute on https://github.com/scinawa/quantumalgorithms.org
My current affiliation, which is really supportive and helpful beyond any expectation is @quantumlah and I wrote my thesis at @IRIF_Paris with Iordanis Kerenidis and @f_magniez with the help of Atos Quantum Lab @Atos .
Quantum technologies have the power to profoundly impact our society: people must have a way to understand what’s behind the future quantum version of the algorithms that are already governing our lives.
In this sense this website is dedicated to all #cypherpunks : civil liberties through complex mathematics.
We are proudly supported by @unitaryfund a non profit whose mission is to create a quantum technology ecosystem that helps the most people, in a way that ensures that the benefits of these tools are widely, swiftly, and equitably distributed. Our values are aligned.
There are also 5 students of the Mentorship program of the @qosfoundation that are working hard to add new content to the website. Soon we will add algorithms for Monte Carlo, perceptron, graph theory, lower bounds, dynamic programming, and others.
You can follow @scinawa.
Tip: mention @twtextapp on a Twitter thread with the keyword “unroll” to get a link to it.

Latest Threads Unrolled: