  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 $\textrm{H}_2\textrm{O}$ 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 $\textrm{H}_2$ 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.
