Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers

• URL: http://arxiv.org/abs/2212.02482v1
• Date: Mon, 5 Dec 2022 18:40:54 GMT
• Title: Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers
• Authors: Luning Zhao, Joshua Goings, Kenneth Wright, Jason Nguyen, Jungsang Kim, Sonika Johri, Kyujin Shin, Woomin Kyoung, Johanna I. Fuks, June-Koo Kevin Rhee, Young Min Rhee
• Abstract summary: Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on quantum computers. A critical challenge for VQE in practice is that one needs to strike a balance between the expressivity of the VQE ansatz versus the number of quantum gates required to implement the ansatz. We run end-to-end VQE algorithms with up to 12 qubits and 72 variational parameters - the largest full VQE simulation with a correlated wave function on quantum hardware.
• Score: 0.471876092032107
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on near-term quantum computers. A critical challenge for VQE in practice is that one needs to strike a balance between the expressivity of the VQE ansatz versus the number of quantum gates required to implement the ansatz, given the reality of noisy quantum operations on near-term quantum computers. In this work, we consider an orbital-optimized pair-correlated approximation to the unitary coupled cluster with singles and doubles (uCCSD) ansatz and report a highly efficient quantum circuit implementation for trapped-ion architectures. We show that orbital optimization can recover significant additional electron correlation energy without sacrificing efficiency through measurements of low-order reduced density matrices (RDMs). In the dissociation of small molecules, the method gives qualitatively accurate predictions in the strongly-correlated regime when running on noise-free quantum simulators. On IonQ's Harmony and Aria trapped-ion quantum computers, we run end-to-end VQE algorithms with up to 12 qubits and 72 variational parameters - the largest full VQE simulation with a correlated wave function on quantum hardware. We find that even without error mitigation techniques, the predicted relative energies across different molecular geometries are in excellent agreement with noise-free simulators.

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