Benchmarking near-term quantum devices with the variational quantum eigensolver and the Lipkin-Meshkov-Glick model

The variational quantum eigensolver is a promising algorithm for noisy intermediate scale quantum (NISQ) computation. Verification and validation of NISQ algorithms' performance on NISQ devices is an important task. We consider the exactly diagonalizable Lipkin-Meshkov-Glick (LMG) model as a candidate for benchmarking NISQ computers. We use the Bethe Ansatz to construct eigenstates of the trigonometric LMG model using quantum circuits inspired by the LMG's underlying algebraic structure. We construct circuits with depth O(N) and O(log(2)N) that can prepare any trigonometric LMG eigenstate of N particles. The number of gates required for both circuits is O(N). The energies of the eigenstates can then be measured and compared to the exactly known answers.

Automated summary

The text discusses a variational quantum eigensolver algorithm for finding eigenstates of the LPG model, using quantum circuits. It emphasizes the importance of verifying and validating the performance of NISQ algorithms on NISQ devices.