Expand two-qubit unitary class to contain more structures. #77
Description
Refer to the following papers:
T. Hur, L. Kim, and D. K. Park, “Quantum convolutional neural network for classical data classification,” Quantum Machine Intelligence, vol. 4, no. 1, Feb. 2022, doi: https://doi.org/10.1007/s42484-021-00061-x.
S. Sim, P. D. Johnson, and A. Aspuru‐Guzik, “Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms,” Advanced Quantum Technologies, p. 1900070, Oct. 2019, doi: https://doi.org/10.1002/qute.201900070.
Ian MacCormack, Conor Delaney, Alexey Galda, Nidhi Aggarwal, and Prineha Narang. Branching Quantum Convolutional Neural Networks. arXiv:2012.14439 [physics, physics:quant-ph], December 2020. arXiv: 2012.14439