PyData Yerevan 2022

Tigran Sedrakyan

With a background in computer science and physics, I am currently following my academic journey in quantum computing. I have previously worked as a software engineer and gathered some hands-on experience in machine learning. Some of my recent insights include the applications of innovative techniques of quantum computing to machine learning, around which I am going to construct my talk.

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Sessions

08-12
11:15
40min
Grover’s quantum search for data science and why should we care
Tigran Sedrakyan

Among the most prominent achievements of the quantum computing field is an algorithm known as Grover’s quantum search. This talk focuses on Grover’s algorithm and its applications to machine learning routines. Prior knowledge required is a basic understanding of linear algebra and computer science, and familiarity with the concepts of machine learning.

213W PAB