Quantum Computing, Deep Learning, and Artificial Intelligence

How Quantum can be used to dramatically enhance and speed up not just Convolutional Neural Nets for image processing and Recurrent Neural Nets for language and speech recognition, but also the frontier applications of Generative Adversarial Neural Nets and Reinforcement Learning. While supply chain, cybersecurity, risk modeling, and complex system analysis are all important segments of data science, they don't hold nearly the promise of what a massive improvement in Deep Learning would mean commercially. Optimization problems extend beyond the realm of traditional data science to include incredibly complex problems like protein folding or test flying space craft based on mathematical models. Can We Make Quantum Computers Work Like Deep Neural Nets?