Quantum Convolutional Neural Networks
A team of researchers at Harvard University recently developed a quantum circuit-based algorithm inspired by convolutional neural networks (CNNs). In their paper, published in Nature Physics, the researchers outlined this new architecture and evaluated its accuracy in recognizing quantum states associated with a 1-D, symmetry-protected topological phase. Note that existing quantum simulators are quite small, thus they are unable to support a large-scale CNNs and other machine learning techniques that are being used in conventional computers.
https://www.nature.com/articles/s41567-019-0648-8
https://phys.org/news/2019-09-quantum-convolutional-neural-networks.html
https://www.physics.harvard.edu/node/987
https://www.nature.com/articles/s41567-019-0648-8
https://phys.org/news/2019-09-quantum-convolutional-neural-networks.html
https://www.physics.harvard.edu/node/987