Quantum computing for data science

TL;DR

This paper offers an overview of quantum computing's advancements in hardware and algorithms, highlighting its potential to revolutionize data science and machine learning applications.

Contribution

It presents a comprehensive perspective on the current state and future prospects of quantum computing in data science and machine learning.

Findings

Quantum hardware is rapidly advancing, enabling new computational possibilities.

Quantum algorithms show promise for speeding up data analysis tasks.

Potential for quantum machine learning to outperform classical methods in specific applications.

Abstract

I provide a perspective on the development of quantum computing for data science, including a dive into state-of-the-art for both hardware and algorithms and the potential for quantum machine learning