This thesis explains the challenges that arise when pricing financial derivative contracts and how quantum computers can be used to accelerate the computing process currently performed on classical computers. More precisely, I provide concrete explanations on how previously suggested circuits work and I give examples of implementations of these circuits. I also introduce fundamental notions of finance and quantum computing so that readers coming from different fields can more easily grasp the content covered. Finally, I highlight potential issues with the algorithms presented and I suggest research avenues
NEASQC Use Case 5 (UC5) works on the development and evaluation of quantum algorithms for financial ...
We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work ...
Quantum computers are not yet up to the task of providing computational advantages for practical sto...
Quantum Computing commenced in 1980’s with the pioneering work of Paul Benioff (Benioff, 1980) who p...
Quantum computers have the potential to increase the solution speed for many computational problems....
We review the state of the art and recent advances in quantum computing applied to derivative pricin...
Quantum computers are expected to surpass the computational capabilities of classical computers duri...
A derivative is a financial security whose value is a function of underlying traded assets and marke...
49 pages, 4 figuresQuantum computers are expected to have substantial impact on the finance industry...
Derivatives contracts are one of the fundamental pillars of modern financial markets and are routine...
Quantum computing has recently appeared in the headlines of many scientific and popular publications...
Recently there has been increased interest on quantum algorithms and how they are applied to real li...
We present a methodology to price options and portfolios of options on a gate-based quantum computer...
The recent development of quantum computing gives us an opportunity to explore its potential applica...
All major frameworks for programming Quantum Computers (Qiskit, Cirq, Rigetti) currently have optimi...
NEASQC Use Case 5 (UC5) works on the development and evaluation of quantum algorithms for financial ...
We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work ...
Quantum computers are not yet up to the task of providing computational advantages for practical sto...
Quantum Computing commenced in 1980’s with the pioneering work of Paul Benioff (Benioff, 1980) who p...
Quantum computers have the potential to increase the solution speed for many computational problems....
We review the state of the art and recent advances in quantum computing applied to derivative pricin...
Quantum computers are expected to surpass the computational capabilities of classical computers duri...
A derivative is a financial security whose value is a function of underlying traded assets and marke...
49 pages, 4 figuresQuantum computers are expected to have substantial impact on the finance industry...
Derivatives contracts are one of the fundamental pillars of modern financial markets and are routine...
Quantum computing has recently appeared in the headlines of many scientific and popular publications...
Recently there has been increased interest on quantum algorithms and how they are applied to real li...
We present a methodology to price options and portfolios of options on a gate-based quantum computer...
The recent development of quantum computing gives us an opportunity to explore its potential applica...
All major frameworks for programming Quantum Computers (Qiskit, Cirq, Rigetti) currently have optimi...
NEASQC Use Case 5 (UC5) works on the development and evaluation of quantum algorithms for financial ...
We introduce a quantum algorithm to compute the market risk of financial derivatives. Previous work ...
Quantum computers are not yet up to the task of providing computational advantages for practical sto...