Rotate, Compute, Rotate: Lecture 2 of Quantum Computation and Information at CMU

preview_player
Показать описание
Quantum Computation and Quantum Information
Lecture 2: Rotate, Compute, Rotate

Carnegie Mellon Course 15-859BB, Fall 2018

Taught by Ryan O'Donnell

Thumbnail image by Eels and Ticha Sethapakdi
Рекомендации по теме
Комментарии
Автор

This is brilliant. I absolutely love the way you teach. Really cool. Love the blackboard too. Content with attached lecture notes is an invaluable resource to study this topic. Thank you for taking the effort to record it

roshanmis
Автор

thank you for reminding me to charge my battery pack! ⚡🤖 #stayjuicy

tigeruby
Автор

I'm very curious about the nature of "probabilistic computation". It seems like there may be several different kinds. For example, the "probabilistic" aspect of the Miller-Rabin probabilistic primality proving algorithm resides in the choice of random numbers. Aside from the choice of the random number, it is perfectly deterministic. It would seem that such a probabilistic algorithm has a very different intrinsic property compared to say a "fuzzy logic" system. It'd be interesting to go into the science of the "different kinds" of probabilistic algorithms, and how that relates to quantum. I suspect that the probabilistic nature of quantum computing is a whole different type...although probably quite similar to the type of Miller-Rabin. I also wonder where neural networks fall into this spectrum. Is it also a "probabilistic algorithm" in the same sense that the weights of a neural network are like the random numbers in MR?

HidekazuOki
Автор

Brilliant summary of optical quantum computing:
- Initialize 1000 photons
- Run thru obstacle course

43:00

tanishqaggarwal
Автор

Hi Professor Ryan, I have a doubt at 29:00, you mentioned that if we generate 1000 random bits in an array then one would need 2^1000 numbers to describe the final state of the array, but as we are generating each bit independently can't we explain the state using 1000 numbers, where ith number tells the probability of 0 of ith bit (probability of 1 for that bit will be = 1 - the probability of the bit being 0) ?

vaithak
Автор

You know, we are at 1:08:29 of 1:20:23, and the "rotate, compute, rotate" line hasn't been mentioned yet. I know we're rolling up to it, but...

Ah - 1:19:17 and we're finally hearing the words.

KipIngram
Автор

Man, this "waving off" the difference between N and N*log(N) is bugging me... All dependence on N counts!

KipIngram