Quanta Magazine

Machine Learning Aids Classical Modeling of Quantum Systems

Understanding the quantum universe is not an easy thing. Intuitive notions of space and time break down in the tiny realm of subatomic physics, allowing for behavior that seems, to our macro ...
Nature

Review of some existing QML frameworks and novel hybrid classical–quantum neural networks realising binary classification for the noisy datasets

One of the most promising areas of research to obtain practical advantage is Quantum Machine Learning which was born as a result of cross-fertilisation of ideas between Quantum Computing and Classical ...
VentureBeat

Ten years in: Deep learning changed computer vision, but the classical elements still stand

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Computer Vision (CV) has evolved rapidly ...
Nature

Hybrid quantum-classical-quantum convolutional neural networks

Deep learning has achieved significant success in pattern recognition, with convolutional neural networks (CNNs) serving as a foundational architecture for extracting spatial features from images.