TY  - JOUR
A1  - Zhang, Zi-Jian
A1  - Kyaw, Thi Ha
A1  - Kottmann, Jakob S.
A1  - Degroote, Matthias
A1  - Aspuru-Guzik, Alán
T1  - Mutual information-assisted adaptive variational quantum eigensolver
T2  - Quantum Science and Technology
N2  - Adaptive construction of ansatz circuits offers a promising route towards applicable variational quantum eigensolvers on near-term quantum hardware. Those algorithms aim to build up optimal circuits for a certain problem and ansatz circuits are adaptively constructed by selecting and adding entanglers from a predefined pool. In this work, we propose a way to construct entangler pools with reduced size by leveraging classical algorithms. Our method uses mutual information between the qubits in classically approximated ground state to rank and screen the entanglers. The density matrix renormalization group method is employed for classical precomputation in this work. We corroborate our method numerically on small molecules. Our numerical experiments show that a reduced entangler pool with a small portion of the original entangler pool can achieve same numerical accuracy. We believe that our method paves a new way for adaptive construction of ansatz circuits for variational quantum algorithms.
KW  - Electrical and Electronic Engineering
KW  - Physics and Astronomy (miscellaneous)
KW  - Materials Science (miscellaneous)
KW  - Atomic and Molecular Physics, and Optics
Y1  - 2021
UR  - https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/101953
SN  - 2058-9565
VL  - 6
IS  - 3
SP  - 035001
PB  - IOP Publishing
CY  - Philadelphia, PA
ER  -