Overview
- Offers clear guidance on whether, why and when to effectively use the mathematical formalism and the concepts of quantum mechanics to address various foundational issues in information retrieval
- Explains the main concepts of the quantum mechanical framework, focusing on approaches linked to information retrieval such as interference, superposition and entanglement
- Outlines the most essential and promising research directions to fully leverage the quantum mechanical framework for effective and efficient information retrieval systems
- Includes supplementary material: sn.pub/extras
Part of the book series: The Information Retrieval Series (INRE, volume 35)
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Table of contents (4 chapters)
Keywords
About this book
This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems. As such, it concentrates on the main notions of the quantum mechanical framework and describes an innovative range of concepts and tools for modeling information representation and retrieval processes.
The book is divided into four chapters. Chapter 1 illustrates the main modeling concepts for information retrieval (including Boolean logic, vector spaces, probabilistic models, and machine-learning based approaches), which will be examined further in subsequent chapters. Next, chapter 2 briefly explains the main concepts of the quantum mechanical framework, focusing on approaches linked to information retrieval such as interference, superposition and entanglement. Chapter 3 then reviews the research conducted at the intersection between information retrieval and the quantum mechanical framework. The chapter is subdivided into a number of topics, and each description ends with a section suggesting the most important reference resources. Lastly, chapter 4 offers suggestions for future research, briefly outlining the most essential and promising research directions to fully leverage the quantum mechanical framework for effective and efficient information retrieval systems.
This book is especially intended for researchers working in information retrieval, database systems and machine learning who want to acquire a clear picture of the potential offered by the quantum mechanical framework in their own research area. Above all, the book offers clear guidance on whether, why and when to effectively use the mathematical formalism and the concepts of the quantum mechanical framework to address various foundational issues in information retrieval.
Authors and Affiliations
About the author
Massimo Melucci is a professor of Computer Engineering at the University of Padova, Italy. He has been teaching and doing research in information retrieval since 1993. In particular, he investigates and experiments theoretical models especially from a geometrical, probabilistic, and statistical perspective. He is the author of a book on contextual search and co-edited a Springer book on “Advanced Topics in Information Retrieval”.
Bibliographic Information
Book Title: Introduction to Information Retrieval and Quantum Mechanics
Authors: Massimo Melucci
Series Title: The Information Retrieval Series
DOI: https://doi.org/10.1007/978-3-662-48313-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2015
Hardcover ISBN: 978-3-662-48312-1Published: 15 December 2015
Softcover ISBN: 978-3-662-56916-0Published: 21 March 2019
eBook ISBN: 978-3-662-48313-8Published: 08 December 2015
Series ISSN: 1871-7500
Series E-ISSN: 2730-6836
Edition Number: 1
Number of Pages: XVIII, 232
Topics: Information Storage and Retrieval, Probability and Statistics in Computer Science, Quantum Computing, Quantum Information Technology, Spintronics