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
Quantum computing technologies have become a hot topic in academia and industry receiving much atten...
Efforts to realize a sufficiently large controllable quantum processor are actively being pursued gl...
Machine learning is a branch of artificial intelligence, and it has been widely used in many science...
Quantum computers are expected to surpass the computational capabilities of classical computers duri...
49 pages, 4 figuresQuantum computers are expected to have substantial impact on the finance industry...
This thesis explains the challenges that arise when pricing financial derivative contracts and how ...
Quantum computing has recently appeared in the headlines of many scientific and popular publications...
Quantum Computing commenced in 1980’s with the pioneering work of Paul Benioff (Benioff, 1980) who p...
Quantum computers have potential to contribute to advancements in many disciplines including chemist...
Recently there has been increased interest on quantum algorithms and how they are applied to real li...
The field of quantum computing and quantum algorithms is studied from the ground up. Qubits and thei...
This review gives a survey of numerical algorithms and software to simulate quantum computers. It co...
As industry continues to inspire considerable growth in the research and development of quantum comp...
The foundation of quantum computing comes a long way from 1980s to winning the 2022 physics nobel pr...
© 2019, Old City Publishing. All rights reserved. Of all novel computing methods, quantum computatio...
Quantum computing technologies have become a hot topic in academia and industry receiving much atten...
Efforts to realize a sufficiently large controllable quantum processor are actively being pursued gl...
Machine learning is a branch of artificial intelligence, and it has been widely used in many science...
Quantum computers are expected to surpass the computational capabilities of classical computers duri...
49 pages, 4 figuresQuantum computers are expected to have substantial impact on the finance industry...
This thesis explains the challenges that arise when pricing financial derivative contracts and how ...
Quantum computing has recently appeared in the headlines of many scientific and popular publications...
Quantum Computing commenced in 1980’s with the pioneering work of Paul Benioff (Benioff, 1980) who p...
Quantum computers have potential to contribute to advancements in many disciplines including chemist...
Recently there has been increased interest on quantum algorithms and how they are applied to real li...
The field of quantum computing and quantum algorithms is studied from the ground up. Qubits and thei...
This review gives a survey of numerical algorithms and software to simulate quantum computers. It co...
As industry continues to inspire considerable growth in the research and development of quantum comp...
The foundation of quantum computing comes a long way from 1980s to winning the 2022 physics nobel pr...
© 2019, Old City Publishing. All rights reserved. Of all novel computing methods, quantum computatio...
Quantum computing technologies have become a hot topic in academia and industry receiving much atten...
Efforts to realize a sufficiently large controllable quantum processor are actively being pursued gl...
Machine learning is a branch of artificial intelligence, and it has been widely used in many science...