These are the two books i had zeroed in on before asking here.
However, how approachable is the "Classical and Quantum Computation" book? Mathematics is fine as long as it is accessible. Also how good is the explanation of analogy/comparison between concepts from "Classical Computation" vs. "Quantum Computation"? I believe this is the best way to learn this subject and hence am quite interested to know more about how this book does it.
Governments (we the people in general) have the right and duty to regulate corporations, non-human entities which exist at our regulatory pleasure. The US and the EU could easily rip Google/MS/Apple to pieces if they wanted to. Hit some other media conglomerates while they're at it. Vote or something.
I can't help but feel like a lot of commenters would benefit from such things.
Working in an Amazon warehouse for example, being a labourer of some kind (removalist for example). It really is a luxury to sit in front of a keyboard and monitor and think and solve problems and get paid for it.
I've been in my current job for 6 years but I'm on leave at the moment and look to take a few months off next year caring for our newborn.
holds pretty generally; there isn't any new math or algorithm here that I can see. Their own complexity analysis (eqns. 7 and 8) shows this performs about the same as using Karatsuba multiplication on the entries of the matrices (instead of on the matrices themselves).
You can easily set up the cards with two honest Players. Player 1 sorts and makes four piles S-C--H-D. Player 1 looks away, Player 2 puts 8/12 markers randomly on either the first two piles or the last two piles, then randomizes the piles (so Player 1 gets no information from the order).
The hard part is how to do the trading with real cards. You would have to structure/limit the trading a lot instead of the free-for-all that seems to be going on.
More mathy: A. Yu. Kitaev, A. H. Shen, M. N. Vyalyi, "Classical and Quantum Computation"
A killer app: Peter Shor, "Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer"
Some course notes: https://math.mit.edu/~shor/435-LN/