Constructing Local Bases for a Deep Variational Quantum Eigensolver for Molecular Systems
Luca Erhart, Kosuke Mitarai, Wataru Mizukami, Keisuke Fujii

TL;DR
This paper evaluates the deep variational quantum eigensolver's effectiveness for molecular systems, demonstrating its potential to achieve chemical accuracy with reduced qubit requirements through various basis construction methods.
Contribution
It explores the application of deep VQE to quantum chemistry, compares subspaceforming methods, and proposes techniques to lower qubit counts for molecular ground state calculations.
Findings
Deep VQE achieves below 1% error in electron-correlation energy.
Basis creation method significantly impacts accuracy and qubit reduction.
Deep VQE is effective for complex molecules like retinal.
Abstract
Current quantum computers are limited in the number of qubits and coherence time, constraining the algorithms executable with sufficient fidelity. The variational quantum eigensolver (VQE) is an algorithm to find an approximate ground state of a quantum system and is expected to work on even such a device. The deep VQE [K. Fujii, et al., arXiv:2007.10917] is an extension of the original VQE algorithm, which takes a divide-and-conquer approach to relax the hardware requirement. While the deep VQE is successfully applied for spin models and periodic material, its validity on a molecule, where the Hamiltonian is highly nonlocal in the qubit basis, is still unexplored. Here, we discuss the performance of the deep VQE algorithm applied to quantum chemistry problems. Specifically, we examine different subspaceforming methods and compare their accuracy and complexity on a 10 H-atom treelike…
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Taxonomy
TopicsPhotonic and Optical Devices · Advanced Fiber Laser Technologies
