TenCirChem is an open-source Python library for simulating variational quantum algorithms for quantum computational chemistry. TenCirChem shows high performance on the simulation of unitary coupled-cluster circuits, using compact representations of quantum states and excitation operators. Additionally, TenCirChem supports noisy circuit simulation and provides algorithms for variational quantum dynamics. TenCirChem's capabilities are demonstrated through various examples, such as the calculation of the potential energy curve of H2O with a 6-31G(d) basis set using a 34-qubit quantum circuit, the examination of the impact of quantum gate errors on the variational energy of the H2 molecule, and the exploration of the Marcus inverted region for charge transfer rate based on variational quantum dynamics. Furthermore, TenCirChem is capable of running real quantum hardware experiments, making it a versatile tool for both simulation and experimentation in the field of quantum computational chemistry.
@article{arxiv.2303.10825,
title = {TenCirChem: An Efficient Quantum Computational Chemistry Package for the NISQ Era},
author = {Weitang Li and Jonathan Allcock and Lixue Cheng and Shi-Xin Zhang and Yu-Qin Chen and Jonathan P. Mailoa and Zhigang Shuai and Shengyu Zhang},
journal= {arXiv preprint arXiv:2303.10825},
year = {2023}
}