Dong, Z., Cara, M. C., Dahale, G. R., Forestano, R. T., Gleyzer, S., Justice, D., . . . Unlu, E. B. (2023). $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks.
Chicago Style (17th ed.) CitationDong, Zhongtian, et al. $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking Against Classical Neural Networks. 2023.
MLA (9th ed.) CitationDong, Zhongtian, et al. $\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking Against Classical Neural Networks. 2023.
Warning: These citations may not always be 100% accurate.