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David Thouless, Duncan Haldane, and Michael Kosterlitz won the Nobel Prize in Physics in 2016 for discovering that even microscopic matter at the smallest scale can exhibit macroscopic properties and phases that are topological. But … what does that mean? Fan Zhang helps decode some seriously tricky science.
Lesson by Fan Zhang, directed by Anton Trofimov.
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when my insomnia comes, i watch tedEd, because physics make me feel sleepy..
It s possible to use this concept to create materia.
PD: Sorry for my english
So this is used for surface code on qubits and Quantum error correction … Toric codes ryt ?
42 is an error because it isn’t the product of two prime numbers.
Boundaries have no boundary.
Basically this video says nothing
*TOPOLOGY* *IN* *THE* *REAL* *WORLD* *!*
David thouless passed away this april
love topology, love quantum phys! And this “intersection” is pretty exciting.
I literally lost it in the first 30 seconds
Me:”Nothing is harder than topology and quantum mechanics”
Them: *THIS VIDEO*
Idk why but this reminds me of Draco Dormiens Nunquam Titilandus which is Latin and the Hogwarts motto which is Never Tickle A Sleeping Dragon Im pretty sure I know a few words in Latin but its all thanks to google translate
I am here for the Donuts and Coffee. Anyone?
Think of it this way. It can allow for stronger processing in computers because in topology, no matter how much you change the shape of the electrical waves around it, it stays working. Topology focuses less on holes than the gaps around a place. If there were gaps in the ground at a race, of course it’d be harder to end up at the finish line than if everything in the race is smooth. Hence greater efficiency.
To a topologist, the letter T is like helicopter blades, a fidget spinner, and if you think hard enough, a person.
We can classify male and female with the help of Topology
Topologists be like:
Straw=Plane
Key=Pretzel
Like the cat reference
This is the worst video, sorry. I couldnt understand almost nothing
Create more cartoons about physics, neuroscience, astrophysics and artificial neural networks. Please TED-Ed.