Looking Glass Universe | Why Can't You Use Quantum Mechanics To Communicate Faster Than Light? @LookingGlassUniverse | Uploaded 7 years ago | Updated 3 hours ago
The EPR paradox, that we met in a previous video, tells us 2 entangled particles can effect each other no matter now far away they are. But then why can't we use them to send instant messages across the universe? Einstein's relativity tells us it would be a disaster if we could!

Homework:
Prove that faster than light communication doesn't work for the state in the video, when Alice measures up and down-ness, but Bob measures left-rightness.

Look up and then explain the usefulness of a one-time pad. Also explain whether a one time pad coming from a bunch of shared particles is secure if Eve is trying to measure Bob's particle's before he does.

The EPR paradox, that we met in a previous video, tells us 2 entangled particles can effect each other no matter now far away they are. But then why can't we use them to send instant messages across the universe? Einstein's relativity tells us it would be a disaster if we could!

Homework:
Prove that faster than light communication doesn't work for the state in the video, when Alice measures up and down-ness, but Bob measures left-rightness.

Look up and then explain the usefulness of a one-time pad. Also explain whether a one time pad coming from a bunch of shared particles is secure if Eve is trying to measure Bob's particle's before he does.

Solution to homework question 1:
Sorry Youtube doesn't allow certain brackets in the description, so I've put the solution as a comment.

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$Vector addition and basis vectors | Linear algebra makes sense Vectors may seem very difficult when youre first introduced to them, but I hope this video helps you see theyre not that scary! This video will be especially useful for vectors in physics. Well cover vector addition and what vectors are. This is the start of a whole series of linear algebra, and I will cover vectors, adding vectors physics, the scalar product, matrices, eigenvalues/ eigenvectors and Dirac notation. Next video: https://youtu.be/CBIO4xJ1Cok Check out Brilliant: https://brilliant.org/LookingGlassUniverse/ DONT FORGET TO DO YOUR HOMEWORK: Prove these 2 statements about bases 1. If you have two different bases for the same space, then they must have the same number of basis elements in them. (E.g, there are many different choices of basis for the plane, but no matter what basis you choose, there are only 2 vectors in each basis.) 2. Once you pick a basis (say {v_1, v_2}), theres only one correct way to write another vector as a linear combination of the basis vectors. Eg, say v=a v_1+ b v_2. Then you cant also write v=a v_1+ b v_2, where a and b are different from a and b. The multiple choice questions from Brilliant: Q1. Which of these vectors is redundant (i.e. can be written as a linear combination of the other 2): i) (1 2 3) ii) (1 3 5) iii) (2 5 8) iv) Each of the above The full solution is available here: brilliant.org/practice/linear-independence/?p=2 Q2. Consider the following 3 vector spaces: A= The vector space spanned by {(1 2)} B= The vector space spanned by {(1 2), (2 3)} C= The vector space spanned by {(1 2), (2 4), (3 6)} Question: which of the following is true? i) A is a subspace of B, which is a subspace of C ii) C is a subspace of A, which is a subspace of B iii) B is a subspace of C, which is a subspace of A iv) A is a subspace of B and C, which are not subspaces of each other The full solution is here: brilliant.org/practice/subspaces-and-span/?p=6 ANSWERS FOR THE BRILLIANT.ORG QUESTIONS: * * * * * * * * Q1) D Q2) ii HINTS FOR PROOF QUESTIONS: 2 is easier, so lets do that first Hint 2.1 Lets do the case with just 2 basis vectors first. If there are 2 basis vectors v_1 and v_2, the one thing you know about them is that they are not just a multiple of each other (otherwise it wouldnt be a basis). Try and get a contradiction with this fact. * * * Hint 2.2 Assume v= a v_1+ b v_2 = a v_1+ b v_2, but a and a arent equal, and b and b arent equal. * * * Hint 2.3 Use the above equation to write a relationship between v_1 and v_2. Oh no, that looks like they are multiples of each other! * * * Hint 2.4 Now do the case where there are n basis vectors. What you know about them is that you cant write them as linear combinations of the others. Try and get a contradiction with this fact. * * * Hint 1.1. Imagine you had 3 vectors and they span 2D space. Doesnt that one of them is redundant? The following in this case first: B1={u_1,u_2} B2={v_1, v_2,v_3} Write each u_i in terms of B1. Remember that there is a redundancy in B2 if you can write c u_1+ d u_2= u_3. So write this, and lets see if we can find a solution for c and d. Plug in your equations for u_i into c u_1+ d u_2= u_3 You now have a vector on the right hand side in B1 and a vector on the left hand side in B1 Using the result from question 2 (dammit, I really should have swapped the order of these questions), you know that the coefficient in front of v_1 and v_2 must be the same on both sides (since there is only one unique way to write a vector in B1) So now you have 2 linear equations with 2 unknowns (c and d- everything else is known). Show that they only dont have a solution for c and d if B2 was actually linearly dependent all along. (Yes this will require you to know some linear algebra to do efficiently (although technically possible without)). * * * When you assume that the two bases can be any size its most efficient to do this with linear algebra (sorry!!) * * * The solution: yutsumura.com/if-there-are-more-vectors-than-a-spanning-set-then-vectors-are-linearly-dependent/ Music: Epidemic sound, Summer nights 2$

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Why Can't You Use Quantum Mechanics To Communicate Faster Than Light? @LookingGlassUniverse