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Research PaperResearchia:202605.04016

Probability Distribution Analysis of the Cascaded Variational Quantum Eigensolver

Yi-Hua Lai

Abstract

The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing units that is necessary in the conventional VQE algorithm. While CVQE offers complete freedom to choose the guiding state as input, not all guiding states suffice for solution accuracy, as well as resource efficiency. Our work presents a process based on trapezoidal-state preparation for selecting guiding states that yield accurate many-electron ground...

Submitted: May 4, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

The cascaded variational quantum eigensolver (CVQE) circumvents the need for iterative communication between the quantum and classical processing units that is necessary in the conventional VQE algorithm. While CVQE offers complete freedom to choose the guiding state as input, not all guiding states suffice for solution accuracy, as well as resource efficiency. Our work presents a process based on trapezoidal-state preparation for selecting guiding states that yield accurate many-electron ground-state solutions with minimal resource consumption. By analyzing the state probability distributions at different stages of the CVQE calculations, we determine the optimal guiding-state parameters for given resource constraints. We demonstrate the process by comparing electronic energies along the minimal-energy path for a prototypical bimolecular reaction, H2+H2+β†’H3++H\mathrm{H}_2 + \mathrm{H}_2^+ \rightarrow \mathrm{H}_3^+ + \mathrm{H}, using Noisy Intermediate-Scale Quantum (NISQ) computing.


Source: arXiv:2605.00807v1 - http://arxiv.org/abs/2605.00807v1 PDF: https://arxiv.org/pdf/2605.00807v1 Original Link: http://arxiv.org/abs/2605.00807v1

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Submission Info
Date:
May 4, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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