Molecular Symmetry in VQE: A Dual Approach for Trapped-Ion Simulations of Benzene
Joshua Goings, Luning Zhao, Jacek Jakowski, Titus Morris and, Raphael Pooser

TL;DR
This paper presents symmetry-based circuit optimization and error mitigation techniques for VQE algorithms on trapped-ion quantum devices, enabling more complex chemical simulations like benzene with reduced circuit depth and improved accuracy.
Contribution
It introduces a dual approach combining symmetry-inspired classical post-selection and circuit optimization tailored for trapped-ion hardware to enhance VQE performance.
Findings
Achieved near milli-Hartree accuracy in benzene simulation.
Constructed an 8-qubit VQE circuit with 69 entangling gates.
Demonstrated feasibility of complex chemical simulations on current quantum hardware.
Abstract
Understanding complex chemical systems -- such as biomolecules, catalysts, and novel materials -- is a central goal of quantum simulations. Near-term strategies hinge on the use of variational quantum eigensolver (VQE) algorithms combined with a suitable ansatz. However, straightforward application of many chemically-inspired ansatze yields prohibitively deep circuits. In this work, we employ several circuit optimization methods tailored for trapped-ion quantum devices to enhance the feasibility of intricate chemical simulations. The techniques aim to lessen the depth of the unitary coupled cluster with singles and doubles (uCCSD) ansatz's circuit compilation, a considerable challenge on current noisy quantum devices. Furthermore, we use symmetry-inspired classical post-selection methods to further refine the outcomes and minimize errors in energy measurements, without adding quantum…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum and electron transport phenomena · Neural Networks and Reservoir Computing
