The Fuzz about Quantum Convolutional Neural Networks

Introduction

Jormungand: Perfect Order, Episode 10 [1].

Basics of Quantum Computing

Koko ends up building another quantum computer and launching it into orbit on one of these satellites [1].

Variational Quantum Circuits and QNN’s

A basic diagram of a quantum neural network [6].

Quantum Data Encoding

Quantum Convolutional Neural Networks

The nine different convolutional ansatz tested by Hur et al. [3].
The pooling ansatz utilized by Hur et al. for all configurations except 9b [3].

Results

The ten different ansatz configurations tested. Note that Qubit, Dense, HDE, and HAE are the different input encoding methods mentioned before. Ansatz 9b differs from 9a due to its modified pooling ansatz [3].
The results of the conventional CNN. Note that each of the four CNN’s were tested with the two input sizes on both datasets [3]
The results of the two best QCNN ansatz, 2 and 9b. Note that they perform better when tested with the same dimensionality reduction methods [3].
A graphical comparison between the performance of the CNN vs the QCNN [3].

Conclusion

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UTMIST’s Technical Writing Team produces articles on the topics within machine learning for beginner to advanced level audiences. https://utmist.gitlab.io/team/

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University of Toronto Machine Intelligence Team

University of Toronto Machine Intelligence Team

UTMIST’s Technical Writing Team produces articles on the topics within machine learning for beginner to advanced level audiences. https://utmist.gitlab.io/team/

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