AI & Computingpreprint2026-09-27

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

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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.

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View paper (DOI)Open access version OpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-27

Authors: Hyun-Ho Cha

Institutions: Seoul National University

Markov Chains and Monte Carlo Methods Quantum Computing Algorithms and Architecture Quantum many-body systems