Enhancing the Electron Pair Approximation with Measurements on Trapped Ion Quantum Computers

• URL: http://arxiv.org/abs/2312.05426v1
• Date: Sat, 9 Dec 2023 01:13:46 GMT
• Title: Enhancing the Electron Pair Approximation with Measurements on Trapped Ion Quantum Computers
• Authors: Luning Zhao, Joshua Goings, Qingfeng Wang, Kyujin Shin, Woomin Kyoung, Seunghyo Noh, Young Min Rhee, Kyungmin Kim
• Abstract summary: We introduce reduced density matrix (RDM) based second order theory (PT2) as an energetic correction to electron pair approximation. The new approach takes into account the broken-pair energy contribution that is missing in pair-correlated electron simulations. On two generations of the IonQ's trapped ion quantum computers, Aria and Forte, we find that unlike the VQE energy, the PT2 energy correction is highly noise-resilient.
• Score: 7.1240576597319825
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The electron pair approximation offers a resource efficient variational quantum eigensolver (VQE) approach for quantum chemistry simulations on quantum computers. With the number of entangling gates scaling quadratically with system size and a constant energy measurement overhead, the orbital optimized unitary pair coupled cluster double (oo-upCCD) ansatz strikes a balance between accuracy and efficiency on today's quantum computers. However, the electron pair approximation makes the method incapable of producing quantitatively accurate energy predictions. In order to improve the accuracy without increasing the circuit depth, we explore the idea of reduced density matrix (RDM) based second order perturbation theory (PT2) as an energetic correction to electron pair approximation. The new approach takes into account of the broken-pair energy contribution that is missing in pair-correlated electron simulations, while maintaining the computational advantages of oo-upCCD ansatz. In dissociations of N$_2$, Li$_2$O, and chemical reactions such as the unimolecular decomposition of CH$_2$OH$^+$ and the \snTwo reaction of CH$_3$I $+$ Br$^-$, the method significantly improves the accuracy of energy prediction. On two generations of the IonQ's trapped ion quantum computers, Aria and Forte, we find that unlike the VQE energy, the PT2 energy correction is highly noise-resilient. By applying a simple error mitigation approach based on post-selection solely on the VQE energies, the predicted VQE-PT2 energy differences between reactants, transition state, and products are in excellent agreement with noise-free simulators.

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