Here we are again! In the previous post of this series I have begun recapping my learning path in QC, with the aim of sharing useful assets, since early readings in 2016 to recent brush-up, and hints. We have spoken about skills I feel necessary to avoid preliminaries coming from many STEM fields, and introduced seminal stuff to approach QC (remember: seminal is not a byword for easy).

This will be series of posts, tracing my efforts to brush up and improve my knowledge of quantum computing. I’m not going to write (rough) copies of quality contents already widely available online to learn the topic; instead I’m going to record which resources I have been using: that’s why I decided to name it “an opinionated path”.

Very busy year for me, requiring my attention to temporarily shift from my usual spare time interests. And I guess it will be the 2024 flavour as well: some important, pleasant, demanding stuff to handle, even if not worth to be mentioned on this blog given their private nature.

Everyone serious about computer science has to take a look at the many lectures Prof. Tim Roughgarden shares on his YouTube Channel, coming from his research, seminars and courses at Stanford and Columbia University: e.g. he is the author of monumental Algorithms Illuminated series (now also available as a single volume), and of the super valuable Foundations of Blockchains lectures (the YouTube “class” is still ongoing, and I strongly suggest it to everyone wanting to go deeper than the too frequent chit-chat surrounding this fascinating world).

Since 2020 I’m studying Monero inner workings and producing infographics from my personal notes to give back my contribution to cryptocurrency documentation.