Quantum Computing | Math + Applications to Neural Networks & Cryptography

Presentation introducing the mathematics behind quantum computing, and applications with neural networks and cryptography. Includes description of bits vs qubits, deep learning with neural networks, quantum cryptography, quantum Fourier transform, SHA-256, Shor's and Grover's algorithms. Code (not shown) for neural network example was run in Tensorflow. 0:00 Introduction 1:09 Bits vs Qubits 3:20 Quantum Computing States 4:22 Quantum Entanglement 5:41 Schrodinger 8:23 Qubit Operations 9:23 Quantum Parallelism 10:45 Neural Networks + Deep Learning: experiment comparing neural network - based learning control with finite difference integrated neural network - based learning control 19:31 Cryptography: proposed applications with quantum computing and neural networks