{"title":"NLSE: A Python package to solve the nonlinear\nSchrödinger equation","authors":"Tangui Aladjidi, C. Piekarski, Q. Glorieux","doi":"10.21105/joss.06607","DOIUrl":null,"url":null,"abstract":"The nonlinear Schrödinger equation (NLSE) is a general nonlinear equation used to model the propagation of light in nonlinear media. This equation is mathematically isomorphic to the Gross-Pitaevskii equation (GPE) (Pitaevskij & Stringari, 2016) describing the evolution of cold atomic ensembles. Recently, the growing field of quantum fluids of light (Carusotto & Ciuti, 2013) has proven a fruitful testbed for several fundamental quantum and classical phenomena such as superfluidity (Michel et al., 2018) or turbulence (Baker-Rasooli et al., 2023). Providing a flexible, modern and performant framework to solve these equations is crucial to model realistic experimental scenarios.","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"31 17","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of open source software","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.21105/joss.06607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The nonlinear Schrödinger equation (NLSE) is a general nonlinear equation used to model the propagation of light in nonlinear media. This equation is mathematically isomorphic to the Gross-Pitaevskii equation (GPE) (Pitaevskij & Stringari, 2016) describing the evolution of cold atomic ensembles. Recently, the growing field of quantum fluids of light (Carusotto & Ciuti, 2013) has proven a fruitful testbed for several fundamental quantum and classical phenomena such as superfluidity (Michel et al., 2018) or turbulence (Baker-Rasooli et al., 2023). Providing a flexible, modern and performant framework to solve these equations is crucial to model realistic experimental scenarios.
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