Nielson and Chuang, while getting quite dated now [1], is still the best introduction to the conceptual framework of quantum computation and information. Its algorithms section though is not very detailed, and I found it difficult to teach my undergrad students from it.

The qiskit book gives a nice introduction to the algorithms, and contains all the latest algorithms, for someone wanting to learn the field.

[1] it doesn't include a lot of new advances in the past twenty years.

I can vouch for that book too. About 3 years ago I used it as the main text book for a QC course and came back to it multiple times during my master thesis. For me it was just concise enough to stay focused but not get lost every other sentence (unlike 90% of math books I worked through). However the parent is right in that it is a little outdated when it comes to the physical realizations and maybe some algorithmic findings.

Anyway it was an invaluable resource for me and I would love a new revision from both authors.

There's also https://quantumalgorithmzoo.org/.

Is there a follow up book to it? Like that you’d recommend, not that they wrote.

Keep it. You will need it in a parallel universe.

I don't really need it in this universe - I've realized that I'm a loser and wouldn't benefit from it.

you should be some sort of survivalist oracle AI. seems useful.

Shor just used this book last semester in MIT’s quantum computing class.

It's opened and free now https://openlearninglibrary.mit.edu/courses/course-v1:MITx+8...