Back to Search
Start Over
ℤ 2 × ℤ 2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.
- Source :
-
Axioms (2075-1680) . Mar2024, Vol. 13 Issue 3, p188. 13p. - Publication Year :
- 2024
-
Abstract
- This paper presents a comparative analysis of the performance of Equivariant Quantum Neural Networks (EQNNs) and Quantum Neural Networks (QNNs), juxtaposed against their classical counterparts: Equivariant Neural Networks (ENNs) and Deep Neural Networks (DNNs). We evaluate the performance of each network with three two-dimensional toy examples for a binary classification task, focusing on model complexity (measured by the number of parameters) and the size of the training dataset. Our results show that the Z 2 × Z 2 EQNN and the QNN provide superior performance for smaller parameter sets and modest training data samples. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20751680
- Volume :
- 13
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Axioms (2075-1680)
- Publication Type :
- Academic Journal
- Accession number :
- 176270537
- Full Text :
- https://doi.org/10.3390/axioms13030188