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Data for Digital-Analog Simulations of Schrödinger Cat States in the Dicke-Ising Model

Authors: Shapiro, Dmitriy S.; Weber, Yannik; Bode, Tim; Wilhelm, Frank K.; Bagrets, Dmitry;

Data for Digital-Analog Simulations of Schrödinger Cat States in the Dicke-Ising Model

Abstract

This work is supported by DPG under Germany’s Excellence Strategy – Cluster of Excellence Matter and Light for Quantum Computing (ML4Q) EXC 2004/1 – 390534769. The authors acknowledge support from the German Federal Ministry of Education and Research (BMBF) in the funding program "Quantum technologies – from basic research to market”, contract numbers 13N15584 (project DAQC) and 13N16149 (project QSolid). The authors are also grateful to the funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - Project-ID 429529648 - TRR 306 QuCoLiMa (”Quantum Cooperativity of Light and Matter”). 

This dataset contains a Python notebook implementing numerical simulations of digital-analog quantum algorithms for the Dicke-Ising model. It accompanies the results presented in the paper [arXiv:2412.14285], and is intended to support reproducibility and further research.

Keywords

Quantum field theory, Quantum optics, quantum algorithms

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average