Quantum Algorithms and their Implementation on Quantum Computer Simulators

Bachelor Thesis (2018)
Author(s)

M. van der Lans (TU Delft - Applied Sciences)

Contributor(s)

Carmina García Almudever – Mentor

M Möller – Mentor

WGM Groenevelt – Graduation committee member

David Elkouss Coronas – Graduation committee member

Faculty
Applied Sciences
Copyright
© 2018 Mike van der Lans
More Info
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Publication Year
2018
Language
English
Copyright
© 2018 Mike van der Lans
Graduation Date
22-06-2018
Awarding Institution
Delft University of Technology
Faculty
Applied Sciences
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Abstract

Quantum computation is becoming an increasingly interesting field, especially with the rise of real quantum computers. However, current quantum processors contain a few tens of error-prone qubits and the realization of large-scale quantum computers is still very challenging. Therefore, quantum computer simulators are particularly suitable for testing and analysing quantum algorithms without having a real quantum computer at one's disposal. In this thesis, different quantum algorithms such as Grover's and Shor's algorithm as well as key quantum routines such as the Quantum Fourier Transform (QFT) and a quantum adder/subtractor are described and analysed (optimal number of iterations, time complexity). Some of them have been implemented for an arbitrary number of qubits and have been simulated using two different quantum simulators, the QX simulator developed at QuTech and the Liquid simulator from Microsoft. In addition, how errors affect the success rate of the algorithms has been investigated.

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