Scandinavian Working Papers in Economics
Working Paper Series,
Sveriges Riksbank (Central Bank of Sweden)
No 398: Quantum Technology for Economists
Isaiah Hull (), Or Sattath, Eleni Diamanti and Göran Wendin
Additional contact information
Isaiah Hull: Research Department, Central Bank of Sweden, Postal: Sveriges Riksbank, SE-103 37 Stockholm, Sweden
Or Sattath: Department of Computer Science, Postal: Ben-Gurion University, Beersheba, Israel
Eleni Diamanti: LIP6, CNRS, Postal: Sorbonne Université, 75005 Paris, France
Göran Wendin: Department of Microtechnology and Nanoscience, Postal: Chalmers University of Technology,, Gothenburg, Sweden,
Abstract: Research on quantum technology spans multiple disciplines: physics, computer science, engineering, and mathematics. The objective of this manuscript is to provide an accessible introduction to this emerging field for economists that is centered around quantum computing and quantum money. We proceed in three steps. First, we discuss basic concepts in quantum computing and quantum communication, assuming knowledge of linear algebra and statistics, but not of computer science or physics. This covers fundamental topics, such as qubits, superposition, entanglement, quantum circuits, oracles, and the no-cloning theorem. Second, we provide an overview of quantum money, an early invention of the quantum communication literature that has recently been partially implemented in an experimental setting. One form of quantum money offers the privacy and anonymity of physical cash, the option to transact without the involvement of a third party, and the efficiency and convenience of a debit card payment. Such features cannot be achieved in combination with any other form of money. Finally, we review all existing quantum speedups that have been identified for algorithms used to solve and estimate economic models. This includes function approximation, linear systems analysis, Monte Carlo simulation, matrix inversion, principal component analysis, linear regression, interpolation, numerical differentiation, and true random number generation. We also discuss the difficulty of achieving quantum speedups and comment on common misconceptions about what is achievable with quantum computing.
Keywords: Quantum Computing; Econometrics; Computational Economics; Money; Central Banks
120 pages, December 1, 2020
Full text files
no.-398-quantum-technology-for-economists.pdfFull text
Questions (including download problems) about the papers in this series should be directed to Lena Löfgren ()
Report other problems with accessing this service to Sune Karlsson ().
This page generated on 2024-02-05 17:13:28.