Parameterized Two-Qubit Gates for Enhanced Variational Quantum Eigensolver

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.

9 pages, 6 figures + Supplementary material: 5 pages, 8 figures

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Cited by in corpus (3)

• Taming quantum systems: A tutorial for using shortcuts-to-adiabaticity, quantum optimal control, and reinforcement learning
• Applications and resource reductions in measurement-based variational quantum eigensolvers
• Multiqubit state learning with entangling quantum generative adversarial networks