Paper Image

Quantum annealing speeds image classification

Published on:

2 November 2023

Primary Category:

Quantum Physics

Paper Authors:

Hinako Asaoka,

Kazue Kudo


Key Details

NBMF extracts features and classifies images

NBMF outperforms neural networks given little data

Quantum annealing speeds up computation time

NBMF accuracy is stable with small data and features

NBMF converges faster than neural networks

AI generated summary

Quantum annealing speeds image classification

This paper proposes using quantum annealing for image classification. The method called nonnegative/binary matrix factorization (NBMF) is compared to neural networks. With small data and features, NBMF achieves higher accuracy and lower error. Using quantum annealing is faster than classical optimization methods.

Answers from this paper


No comments yet, be the first to start the conversation...

Sign up to comment on this paper

Sign Up