Özyeğin University, Çekmeköy Campus Nişantepe District, Orman Street, 34794 Çekmeköy - İSTANBUL

Phone : +90 (216) 564 90 00

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E-mail: info@ozyegin.edu.tr

Jan 12, 2021 - Jan 19, 2021

Thesis Defense - Abdulrahman Dandaşi (MSEE)

 

 

Abdulrahman Dandaşi - M.Sc.Electrical and Electronics Engineering

Asst. Prof. Kadir Durak – Advisor

 

Date: 18.01.2021

Time: 16:00

Location: This meeting will be held ONLINE. Please send an e-mail to gizem.bakir@ozyegin.edu.tr in order to participate in this defense.

 

Pseudothermal Light Based Quantum Random Number Generator

 

Thesis Committee:

Asst. Prof. Kadir Durak, Özyeğin University

Prof. H. Fatih Uğurdağ, Özyeğin University

Asst. Prof. Muhammed Fatih Toy, Istanbul Medipol University

Abstract:

Random number generators (RNGs) have gained lots of attention from the scientific and commercial communities recently. That is due to the fast development in computers which makes cracking cryptographic systems simpler than before. Several RNGs emerged such as pseudorandom number generators and true random number generators. However, knowing the pros and cons of both, they started to show some weakness facing quantum computers. Quantum computers use quantum phenomena which makes them drastically faster than conventional computers. Thus, the need for a countermeasure arose for the applications where high-security is needed. This is when the idea of a RNG that exploits phenomena from the quantum realm saw the light and quantum random number generators (QRNGs) started to appear.

One critical aspect of any QRNG is its speed, especially in practical applications. In this thesis, we show that light scattering enhances the randomness characteristics in the entropy source. This works as an optical bit extraction which allows a faster sampling rate than the coherent source based balanced homodyne detection without compromising the randomness quality. The idea is to increase the chaotic behavior of coherent sources using scattering. This is shown by broadening the distribution of the photon statistics and making it follow the super-Poissonian statistics. We compare the results of the Poissonian and super-Poissonian signals and show that the latter have better randomness which is seen in their autocorrelation functions and randomness test results.

Bio: 

Abdulrahman Dandaşi has received his bachelor’s degree from the Electrical and Electronics Engineering Department in Ozyegin University in 2018. He joined Dr. Durak’s group as an intern at "Quantum Optics Laboratory" for one semester. After that, he started his master's degree in the same lab. His main research interest includes quantum optics and quantum communication. His thesis focuses on quantum random number generators.