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Fitness landscape for quantum state tomography from neutron scattering

Tula, Tymoteusz and Quintanilla, Jorge and Möller, Gunnar (2024) Fitness landscape for quantum state tomography from neutron scattering. [Preprint] (doi:10.48550/arXiv.2412.10502) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:108200)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://arxiv.org/abs/2412.10502

Abstract

Recently, a direct connection between static structure factors and quantum ground states for two-spin interaction Hamiltonians was proven. This suggests the possibility of quantum state tomography from neutron scattering. Here, we investigate the associated fitness landscape numerically. We find a linear relationship between the mean square distances of the structure factors and the associated state overlaps, implying a well-behaved fitness landscape. Furthermore, we find evidence suggesting that the approach can be generalized to thermal equilibrium states. We also extend the arguments to the cases of applied magnetic fields and finite clusters.

Item Type: Preprint
DOI/Identification number: 10.48550/arXiv.2412.10502
Refereed: No
Other identifier: arXiv:2412.10502 [cond-mat.str-el]
Name of pre-print platform: arXiv
Uncontrolled keywords: neutron scattering, optimization, quantum magnets, state tomography, quantum information, condensed matter
Subjects: Q Science > QC Physics > QC173.45 Condensed Matter
Q Science > QC Physics > QC176 Solid state physics
Q Science
Q Science > QC Physics
Q Science > QC Physics > QC174.12 Quantum theory
Divisions: Divisions > Division of Natural Sciences > Physics and Astronomy
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
Depositing User: Jorge Quintanilla Tizon
Date Deposited: 17 Dec 2024 11:48 UTC
Last Modified: 20 Jan 2025 09:38 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/108200 (The current URI for this page, for reference purposes)

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