Work

Pauli grouping for estimating fidelity with a one-dimensional cluster state

Year: 2026

Type: preprint

Abstract: We provide a classically efficient, end-to-end algorithm to minimize measurement complexity for estimating one-dimensional cluster state fidelity by finding an optimal Pauli grouping.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22996145

Author: Cha, HyunHo

Institution: Seoul National University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7214533198

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