Variational Quanvolutional Neural Networks with enhanced image encoding

06/14/2021
by   Denny Mattern, et al.
0

Image classification is an important task in various machine learning applications. In recent years, a number of classification methods based on quantum machine learning and different quantum image encoding techniques have been proposed. In this paper, we study the effect of three different quantum image encoding approaches on the performance of a convolution-inspired hybrid quantum-classical image classification algorithm called quanvolutional neural network (QNN). We furthermore examine the effect of variational - i.e. trainable - quantum circuits on the classification results. Our experiments indicate that some image encodings are better suited for variational circuits. However, our experiments show as well that there is not one best image encoding, but that the choice of the encoding depends on the specific constraints of the application.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

12/15/2020

VSQL: Variational Shadow Quantum Learning for Classification

Classification of quantum data is essential for quantum machine learning...
03/29/2022

Multiclass classification using quantum convolutional neural networks with hybrid quantum-classical learning

Multiclass classification is of great interest for various machine learn...
09/07/2021

ICCAD Special Session Paper: Quantum-Classical Hybrid Machine Learning for Image Classification

Image classification is a major application domain for conventional deep...
05/27/2019

Defining Quantum Neural Networks via Quantum Time Evolution

This work presents a novel fundamental algorithm for for defining and tr...
05/01/2020

Variational Quantum Eigensolver for Frustrated Quantum Systems

Hybrid quantum-classical algorithms have been proposed as a potentially ...
12/05/2021

Quantum Machine Learning for Radio Astronomy

In this work we introduce a novel approach to the pulsar classification ...
11/08/2021

Representation Learning via Quantum Neural Tangent Kernels

Variational quantum circuits are used in quantum machine learning and va...

Code Repositories

variational-quanvolutional-neural-networks

The official code repository for "Variational Quanvolutional Neural Networks with enhanced image encoding", https://arxiv.org/abs/2106.07327


view repo
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.