Parameterized Two-Qubit Gates for Enhanced Variational Quantum Eigensolver

TL;DR

This paper investigates the impact of using parameterized two-qubit gates in the variational quantum eigensolver, demonstrating improved performance over fixed gates in quantum chemistry and materials science applications.

Contribution

It introduces the use of parameterized two-qubit gates in VQE circuits and shows they outperform fixed gates in energy accuracy and outlier reduction.

Findings

Parameterized two-qubit gates improve energy estimates.

Enhanced performance in quantum chemistry and materials science.

Reduction in outliers with parameterized gates.

Abstract

The variational quantum eigensolver is a prominent hybrid quantum-classical algorithm expected to impact near-term quantum devices. They are usually based on a circuit ansatz consisting of parameterized single-qubit gates and fixed two-qubit gates. We study the effect of parameterized two-qubit gates in the variational quantum eigensolver. We simulate a variational quantum eigensolver algorithm using fixed and parameterized two-qubit gates in the circuit ansatz and show that the parameterized versions outperform the fixed versions, both when it comes to best energy and reducing outliers, for a range of Hamiltonians with applications in quantum chemistry and materials science.