Absence of Barren Plateaus in Quantum Convolutional Neural Networks
Quantum neural networks (QNNs) have generated excitement around the possibility of efficiently analyzing quantum data. But this excitement has been tempered by the existence of exponentially vanishing gradients, known as barren plateau landscapes, for many QNN architectures. Recently, quantum convol...
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
American Physical Society
2021-10-01
|
Series: | Physical Review X |
Online Access: | http://doi.org/10.1103/PhysRevX.11.041011 |