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Quantum technology for economists

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantum technology for economistsby Isaiah Hull ... [et al.].
其他作者:	Hull, Isaiah.
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xii, 134 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Quantum theory.
電子資源:	https://doi.org/10.1007/978-3-031-50780-9
ISBN:	9783031507809$q(electronic bk.)

Quantum technology for economists
Quantum technology for economists[electronic resource] /by Isaiah Hull ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xii, 134 p. :ill., digital ;24 cm. - Contributions to economics,2197-7178. - Contributions to economics..

Chapter 1. Introduction -- Chapter 2. Preliminaries -- Chapter 3. Quantum Algorithms -- Chapter 4. Quantum Financial Technology.

This book offers an introduction to quantum technology that is specifically tailored to economists, students of economics, and professionals in the financial and payments industries. The book reviews quantum speedups that have been identified for algorithms used to solve and estimate economic models, including function approximation, linear systems analysis, graphical modeling, Monte Carlo simulation, matrix inversion, principal component analysis, linear regression, dynamic programming, interpolation, numerical differentiation, and true random number generation. It also provides an overview of quantum financial technology and its potential applications in economics and finance. Written by an interdisciplinary team with backgrounds in economics, computer science, and physics, this book offers a valuable guide for researchers and practitioners who want to understand the implications and possibilities of quantum technology for the field of economics.

ISBN: 9783031507809$q(electronic bk.)

Standard No.: 10.1007/978-3-031-50780-9doiSubjects--Topical Terms:

199020
Quantum theory.

LC Class. No.: QC174.12

Dewey Class. No.: 530.12

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505 0 $a Chapter 1. Introduction -- Chapter 2. Preliminaries -- Chapter 3. Quantum Algorithms -- Chapter 4. Quantum Financial Technology.
520 $a This book offers an introduction to quantum technology that is specifically tailored to economists, students of economics, and professionals in the financial and payments industries. The book reviews quantum speedups that have been identified for algorithms used to solve and estimate economic models, including function approximation, linear systems analysis, graphical modeling, Monte Carlo simulation, matrix inversion, principal component analysis, linear regression, dynamic programming, interpolation, numerical differentiation, and true random number generation. It also provides an overview of quantum financial technology and its potential applications in economics and finance. Written by an interdisciplinary team with backgrounds in economics, computer science, and physics, this book offers a valuable guide for researchers and practitioners who want to understand the implications and possibilities of quantum technology for the field of economics.
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