![[Pasted image 20201206165243.png]] ![[Pasted image 20201206165401.png]] ![[Pasted image 20201206165553.png]] ![[Pasted image 20201206165614.png]] ![[Pasted image 20201206170104.png]] ![[Pasted image 20201206170133.png]] ![[Pasted image 20201206170358.png]] ![[Pasted image 20201206170846.png]] ![[Pasted image 20201206171124.png]] ![[Pasted image 20201206171308.png]] ![[Pasted image 20201206171337.png]] ![[Pasted image 20201206171430.png]] ![[Pasted image 20201206171454.png]] Technical Hurdles for to build hybrid models with tensorflow & cirq ![[Pasted image 20201206171910.png]] ![[Pasted image 20201206171957.png]] ![[Pasted image 20201206172053.png]] Software Architecture & Stack ![[Pasted image 20201206172135.png]] ![[Pasted image 20201206172158.png]] ![[Pasted image 20201206172242.png]] https://www.youtube.com/watch?v=-o9AhIz1uvo By manipulating interference you can do computation Quantum Computing is about creating constructive interference for correct answers Quantum Machine Learning is about iterative creation of constructive interference for correct answers If you have random walls with random slits you get a fancy [[probability]] distribution known as the Porter thomas -- A quantum chaotic system Sampling from the distribution of the system is exponentially hard classically --> Heart of the quantum supremacy experiment Engineering interference patterns is like generating sound waves. Machine Learning over parameterized Quantum circuits --- tags: #quantum #deeptech links: