Work

Explorations in Quantum Computing for Financial Applications

Year: 2010
Type: dissertation
Abstract: Quantum computers have the potential to increase the solution speed for many computational problems. This paper is a first step into possible applications for quantum computing in the context of computational finance. The fundamental ideas of quantum computing are introduced, followed by an exposition of the algorithms of Deutsch and Grover. Improved mean and median estimation are shown as results of Grover?s generalized framework. The algorithm for mean estimation is refined to an improved Monte Carlo algorithm. Quantum random number generation is also described.
Author: Jesse Gare
Language: English
Open Access status: green
OpenAlex ID: W2097296667
Cites: 16
Cited by:
Related to: 10