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Research PaperResearchia:202604.01075

Trotter Scars: Trotter Error Suppression in Quantum Simulation

Bozhen Zhou

Abstract

Recent studies have shown that Trotter errors are highly initial-state dependent and that standard upper bounds often substantially overestimate them. However, the mechanism underlying anomalously small Trotter errors and a systematic route to identifying error-resilient states remain unclear. Using interaction-picture perturbation theory, we derive an analytical expression for the leading-order Trotter error in the eigenbasis of the Hamiltonian. Our analysis shows that initial states supported ...

Submitted: April 1, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Recent studies have shown that Trotter errors are highly initial-state dependent and that standard upper bounds often substantially overestimate them. However, the mechanism underlying anomalously small Trotter errors and a systematic route to identifying error-resilient states remain unclear. Using interaction-picture perturbation theory, we derive an analytical expression for the leading-order Trotter error in the eigenbasis of the Hamiltonian. Our analysis shows that initial states supported on spectrally commensurate energy ladders exhibit strongly suppressed error growth together with persistent Loschmidt revivals. We refer to such states as Trotter scars. To identify such states in practice, we further introduce a general variational framework for finding error-minimizing initial states for a given Hamiltonian. Applying this framework to several spin models, we find optimized states whose spectral support and dynamical behavior agree with the perturbative prediction. Our results reveal the spectral origin of Trotter-error resilience and provide a practical strategy for discovering error-resilient states in digital quantum simulation.


Source: arXiv:2603.29857v1 - http://arxiv.org/abs/2603.29857v1 PDF: https://arxiv.org/pdf/2603.29857v1 Original Link: http://arxiv.org/abs/2603.29857v1

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Date:
Apr 1, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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