Quantum Computing for Data Centric Engineering and Science

TL;DR

This paper explores the potential impact of quantum computing on data-intensive engineering and science applications, emphasizing quantum Monte Carlo integration as a promising near-term advantage.

Contribution

It provides a perspective on how quantum computing can influence data-centric fields, highlighting quantum Monte Carlo integration and other promising ideas.

Findings

Quantum Monte Carlo integration may offer near-term quantum advantage.

Other quantum algorithms are also discussed as potential game-changers.

The paper offers a strategic outlook on quantum computing's role in data science.

Abstract

In this perspective I give my answer to the question of how quantum computing will impact on data-intensive applications in engineering and science. I focus on quantum Monte Carlo integration as a likely source of (relatively) near-term quantum advantage, but also discuss some other ideas that have garnered wide-spread interest.