It’s been a minute since I’ve written a new post, and that’s because I’ve been studying! As well as creating quantum computing content for Pluralsight, helping my clients with their projects, and working on a new product of my own.
Fortunately, now that I’ve done some more studying, I can come back and share what I’ve learned and hopefully clarify for others some things that were confusing for me the first time around studying linear algebra.
I’m currently reading and working through the book Quantum Computing: An Applied Approach, which I’ve found super helpful and reasonable to follow along with. That being said, there were a couple areas where I had to go find outside help, either from mentors or from online resources, so I’ll try to share those learnings here alongside my notes and guides.
One thing I decided I wanted to do is create “cheat sheets” for the material, both to have a resource to go back to and look at if I (or you!) forget something, and also for anyone who wants to test their knowledge of the math necessary for quantum computing by taking a cursory look at what the sheets cover.
In the sheets, I focus more on providing examples of how to use equations, instead of giving formal definitions.
The first sheet covers the following: vectors, vector addition, scalar multiplication with vectors, norms of a vector, dot product and linear combination.
UPDATE 08.31.2022: Since these sheets are now complete, styled, reviewed, edited, and published, you can pick up the whole pack of 15 in my shop here!