arXiv · 2301.06376
Quantum circuit matrix product state ansatz for large-scale simulations of molecules
Abstract
As in the density matrix renormalization group (DMRG) method, approximating many-body wave function of electrons using a matrix product state (MPS) is a promising way to solve electronic structure problems. The expressibility of an MPS is determined by the size of the matrices or in other words the bond dimension, which unfortunately should be very large in many cases. In this study, we propose to calculate the ground state energies of molecular systems by variationally optimizing quantum circuit MPS (QCMPS) with a relatively small number of qubits. It is demonstrated that with carefully chosen circuit structure and orbital localization scheme, QCMPS can reach a similar accuracy as that achieved in DMRG with an exponentially large bond dimension. QCMPS simulation of a linear molecule with 50 orbitals can reach the chemical accuracy using only 6 qubits at a moderate circuit depth. These results suggest that QCMPS is a promising wave function ansatz in the variational quantum eigensolver algorithm for molecular systems.
Explore related subjects
Keep this discovery
Yi Fan, Jie Liu, Zhenyu Li, Jinlong Yang. 2023-01-16. Quantum circuit matrix product state ansatz for large-scale simulations of molecules. https://arxiv.org/abs/2301.06376
Cite the original work for its findings. Save a collection to share your selection of sources.