A Survey of Quantum Theory Inspired Approaches to Information Retrieval. Uprety, S., Gkoumas, D., & Song, D. ACM Computing Surveys, 2020. arXiv: 2007.04357
doi  abstract   bibtex   
Since 2004, researchers have been using the mathematical framework of quantum theory in information retrieval (IR). Quantum theory offers a generalized probability and logic framework. Such a framework has been shown to be capable of unifying the representation, ranking, and user cognitive aspects of IR, and helpful in developing more dynamic, adaptive, and context-aware IR systems. Although quantum-inspired IR is still a growing area, a wide array of work in different aspects of IR has been done and produced promising results. This article presents a survey of the research done in this area, aiming to show the landscape of the field and draw a road map of future directions.
@article{uprety_survey_2020,
	title = {A {Survey} of {Quantum} {Theory} {Inspired} {Approaches} to {Information} {Retrieval}},
	volume = {53},
	issn = {15577341},
	doi = {10.1145/3402179},
	abstract = {Since 2004, researchers have been using the mathematical framework of quantum theory in information retrieval (IR). Quantum theory offers a generalized probability and logic framework. Such a framework has been shown to be capable of unifying the representation, ranking, and user cognitive aspects of IR, and helpful in developing more dynamic, adaptive, and context-aware IR systems. Although quantum-inspired IR is still a growing area, a wide array of work in different aspects of IR has been done and produced promising results. This article presents a survey of the research done in this area, aiming to show the landscape of the field and draw a road map of future directions.},
	number = {5},
	journal = {ACM Computing Surveys},
	author = {Uprety, Sagar and Gkoumas, Dimitris and Song, Dawei},
	year = {2020},
	note = {arXiv: 2007.04357},
	keywords = {Information retrieval, quantum theory, quantum-inspired models},
}

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