Algoritma Bernstein-Vazirani Pada Komputer Kuantum Berbasis Nuclear Magnetic Resonance Tiga Qubit

Al-Amin, Muhammad Amru (2021) Algoritma Bernstein-Vazirani Pada Komputer Kuantum Berbasis Nuclear Magnetic Resonance Tiga Qubit. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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[thumbnail of 01111740000056-Undergraduate_Thesis.pdf] Text
01111740000056-Undergraduate_Thesis.pdf - Accepted Version
Restricted to Repository staff only until 1 October 2023.

Download (28MB) | Request a copy

Abstract

Algoritma Bernstein-Vazirani merupakan algoritma kuantum yang membahas suatu informasi rahasia pada kotak hitam kuantum yang dienkripsikan pada suatu bilangan biner. Algoritma ini berusaha untuk mengetahui informasi rahasia tersebut dengan hanya melakukan satu kali usaha. Komputer kuantum dapat digunakan untuk merealisasikan algoritma tersebut. Pada tugas akhir ini digunakan model komputer kuantum berbasis nuclear magnetic resonance 3-qubit untuk merealisasikan algoritma tersebut. Hasil yang diperoleh berupa spektrum absorpsi dengan bentuk multiplet empat puncak tak terbelit untuk semua kemungkinan dari register keluaran.
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Bernstein-Vazirani algorithm is a quantum algorithm that discusses secret information in a quantum black box that is encrypted in a binary number. This algorithm tries to find out the secret information by only making one query. Quantum computers can be used to realize this algorithm. In this undergraduate thesis, a 3-qubit nuclear magnetic resonance-based quantum computer model is used to realize the algorithm. The results were obtained in the form of absorption spectrum in the form of a multiplet of four peaks without any entanglement state for all possible output registers.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: algoritma bernstein-vazirani, nuclear magnetic resonance, qubit, bernstein-vazirani algorithm, nuclear magnetic resonance, qubit
Subjects: Q Science > QA Mathematics > QA9.58 Algorithms
Q Science > QC Physics
Q Science > QC Physics > QC174.17.Q38 Quantum teleportation
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User: Muhammad Amru Al-Amin
Date Deposited: 19 Aug 2021 16:51
Last Modified: 19 Aug 2021 16:51
URI: http://repository.its.ac.id/id/eprint/87717

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