Quantum Technology for Economists - Eleni Diamanti

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Résumé :
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.

Biographie:
Isaiah Hull is an economist at the Finance Department of BI Norwegian Business School (Norway), a Quantum Research Scientist at CogniFrame (Canada), and an instructor for DataCamp (USA). He specializes in computational macroeconomics and conducts research on the application of machine learning and quantum computing to problems in economics and finance. Or Sattath is a computer scientist at Ben-Gurion University (Israel) who works on quantum cryptography and quantum computing, including the construction of theoretical quantum financial technology schemes. Eleni Diamanti is a CNRS (French National Centre for Scientific Research) research director at the computer science and electrical engineering department of Sorbonne University (France). Her research team was one of the first to implement part of a quantum credit card scheme in an experimental setting. G?ran Wendin is a theoretical quantum physicist at Chalmers University of Technology (Sweden) who works on the physics of computing and is involved in hardware and software engineering efforts related to quantum computing in medicine, biology, and chemistry....

Sommaire:

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