Software for Quantum Machine Learning

Explore the intersection of quantum computing and machine learning in this 34-minute conference talk from the Toronto Machine Learning Series. Dive into the fundamental goals of quantum machine learning as Nathan Killoran, Head of Software & Algorithms at Xanadu Quantum Technologies, presents a high-level overview of building trainable quantum computing algorithms. Discover how existing deep learning concepts, algorithms, and training strategies can be adapted to the quantum domain with minimal modifications. Learn about the similarities between training quantum computers and neural networks, and gain insights into using familiar software tools like TensorFlow and PyTorch in quantum machine learning applications. Gain valuable knowledge about the key ideas that enable the convergence of quantum computing and machine learning techniques.