EPISODE · Aug 28, 2018 · 11 MIN
Quantum Machine Learning
from Siraj Raval
Quantum computers are mind bogglingly powerful machines that take a novel approach to processing data. Built on the principles of quantum mechanics, they utilize complex and fascinating laws of nature that are always there, but usually remain hidden from view like superposition and entanglement. In this video, i'll talk about the intersection of quantum computing and machine learning. Specifically, we'll discuss the examples of quantum annealing, sampling, and quantum gates as layers in a neural network. We'll first try to cover quantum mechanics though, get hype! Code for this video: https://github.com/llSourcell/quantum_machine_learning Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More learning resources: https://github.com/krishnakumarsekar/awesome-quantum-machine-learning https://hackernoon.com/how-quantum-computing-machine-learning-work-together-bc61d0f1b3a https://www.kdnuggets.com/2018/01/quantum-machine-learning-overview.html https://medium.com/xanaduai/quantum-machine-learning-1-0-76a525c8cf69 https://www.rolandberger.com/en/Point-of-View/The-next-big-thing-Quantum-machine-learning.html https://www.rigetti.com/products Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Learn more about the School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 #SirajRaval #Quantum #MachineLearning
What this episode covers
Quantum computers are mind bogglingly powerful machines that take a novel approach to processing data. Built on the principles of quantum mechanics, they utilize complex and fascinating laws of nature that are always there, but usually remain hidden from view like superposition and entanglement. In this video, i'll talk about the intersection of quantum computing and machine learning. Specifically, we'll discuss the examples of quantum annealing, sampling, and quantum gates as layers in a neural network. We'll first try to cover quantum mechanics though, get hype! Code for this video: https://github.com/llSourcell/quantum_machine_learning Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval This video is apart of my Machine Learning Journey course: https://github.com/llSourcell/Machine_Learning_Journey More learning resources: https://github.com/krishnakumarsekar/awesome-quantum-machine-learning https://hackernoon.com/how-quantum-computing-machine-learning-work-together-bc61d0f1b3a https://www.kdnuggets.com/2018/01/quantum-machine-learning-overview.html https://medium.com/xanaduai/quantum-machine-learning-1-0-76a525c8cf69 https://www.rolandberger.com/en/Point-of-View/The-next-big-thing-Quantum-machine-learning.html https://www.rigetti.com/products Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Learn more about the School of AI: https://www.theschool.ai And please support me on Patreon: https://www.patreon.com/user?u=3191693 #SirajRaval #Quantum #MachineLearning
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Quantum Machine Learning
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