Zheng, Han, Kang, Christopher, Ravi, Gokul Subramanian, Wang, Hanrui, Setia, Kanav, Chong, Frederic T., and Liu, Junyu. SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture. Retrieved from https://par.nsf.gov/biblio/10505997. 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) . Web. doi:10.1109/QCE57702.2023.00034.

Zheng, Han, Kang, Christopher, Ravi, Gokul Subramanian, Wang, Hanrui, Setia, Kanav, Chong, Frederic T., & Liu, Junyu. SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture. 2023 IEEE International Conference on Quantum Computing and Engineering (QCE), (). Retrieved from https://par.nsf.gov/biblio/10505997. https://doi.org/10.1109/QCE57702.2023.00034

Zheng, Han, Kang, Christopher, Ravi, Gokul Subramanian, Wang, Hanrui, Setia, Kanav, Chong, Frederic T., and Liu, Junyu. "SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture". 2023 IEEE International Conference on Quantum Computing and Engineering (QCE) (). Country unknown/Code not available: IEEE. https://doi.org/10.1109/QCE57702.2023.00034. https://par.nsf.gov/biblio/10505997.

@article{osti_10505997,
place = {Country unknown/Code not available}, title = {SnCQA: A hardware-efficient equivariant quantum convolutional circuit architecture}, url = {https://par.nsf.gov/biblio/10505997}, DOI = {10.1109/QCE57702.2023.00034}, abstractNote = {}, journal = {2023 IEEE International Conference on Quantum Computing and Engineering (QCE)}, publisher = {IEEE}, author = {Zheng, Han and Kang, Christopher and Ravi, Gokul Subramanian and Wang, Hanrui and Setia, Kanav and Chong, Frederic T. and Liu, Junyu}, }