Really good explication. I agree with others, your ability to explain things and get to the point in a short (shortest possible) amount of time is fantastic. Hopefully the magical UA-cam algorithm kicks in and starts recommending these videos to a large audience. I think once anyone watches one of your videos, they will come back for other topics.
It is often cumbersome to write the ⊗ symbol. Therefore you should be aware that the tensor product |φ> ⊗ |χ> is often written more simply as |φ>|χ> , or even as |φχ> .
Really good explication. I agree with others, your ability to explain things and get to the point in a short (shortest possible) amount of time is fantastic. Hopefully the magical UA-cam algorithm kicks in and starts recommending these videos to a large audience. I think once anyone watches one of your videos, they will come back for other topics.
This is the video I needed.
Pls come to my school and replace my professor
nice explained, your videos are under rated i think
amazing
this help me lot in my study thanks
thank you
can you explain how the 2x1 vectors inside the 4x1 vector collpase into inidices for the 4x1 vector??
What does the symbolism |0,1> means then??? (or |0,0> etc.)
Well explained but can you make a video for 3-Qubit Computational Basis States, Tensor Products.
How can the state | 0 0 > or | 1 1 > be a physically acceptable state? Aren't they violating Pauli's Exclusion Principle?
It is often cumbersome to write the ⊗ symbol. Therefore you should be aware that
the tensor product |φ> ⊗ |χ> is often written more simply as |φ>|χ> , or even as |φχ> .
@@amouxx1052 Yes, but don't do that in teaching this subject.
@@jacobvandijk6525 agree
Wouldn't that be the Kronecker Product at the start rather than the tensor product? Or are they the same thing.