Dong, Z.; Comajoan Cara, M.; Dahale, G.R.; Forestano, R.T.; Gleyzer, S.; Justice, D.; Kong, K.; Magorsch, T.; Matchev, K.T.; Matcheva, K.;
et al. ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. Axioms 2024, 13, 188.
https://doi.org/10.3390/axioms13030188
AMA Style
Dong Z, Comajoan Cara M, Dahale GR, Forestano RT, Gleyzer S, Justice D, Kong K, Magorsch T, Matchev KT, Matcheva K,
et al. ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. Axioms. 2024; 13(3):188.
https://doi.org/10.3390/axioms13030188
Chicago/Turabian Style
Dong, Zhongtian, Marçal Comajoan Cara, Gopal Ramesh Dahale, Roy T. Forestano, Sergei Gleyzer, Daniel Justice, Kyoungchul Kong, Tom Magorsch, Konstantin T. Matchev, Katia Matcheva,
and et al. 2024. "ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks" Axioms 13, no. 3: 188.
https://doi.org/10.3390/axioms13030188
APA Style
Dong, Z., Comajoan Cara, M., Dahale, G. R., Forestano, R. T., Gleyzer, S., Justice, D., Kong, K., Magorsch, T., Matchev, K. T., Matcheva, K., & Unlu, E. B.
(2024). ℤ2 × ℤ2 Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks. Axioms, 13(3), 188.
https://doi.org/10.3390/axioms13030188
