Quantum technology for economists

By:

Hull, Isaiah

Contributor(s):

Material type: Text

TextSeries: Contributions to Economics (CE)Publication details: Springer Cham xii, 134 p.Description: xii, 134 pISBN:

9783031507793

Subject(s):

DDC classification:

332 HUL

Summary: 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. (https://link.springer.com/book/10.1007/978-3-031-50780-9)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Finance & Accounting	332 HUL (Browse shelf(Opens below))	1	Available		008558

Table of contetns:
Introduction
Isaiah Hull, Or Sattath, Eleni Diamanti, Göran Wendin
Pages 1-9
Preliminaries
Isaiah Hull, Or Sattath, Eleni Diamanti, Göran Wendin
Pages 11-36
Quantum Algorithms
Isaiah Hull, Or Sattath, Eleni Diamanti, Göran Wendin
Pages 37-103
Quantum Financial Technology
Isaiah Hull, Or Sattath, Eleni Diamanti, Göran Wendin
Pages 105-134
[https://link.springer.com/book/10.1007/978-3-031-50780-9]

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.

(https://link.springer.com/book/10.1007/978-3-031-50780-9)

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