An Overview of Quantum Computing for Technology Managers

TL;DR

This paper provides technology managers with a high-level overview of quantum computing, highlighting its potential, current limitations, and key application areas like cryptography and simulation.

Contribution

It offers a comprehensive summary of quantum computing concepts, applications, and challenges tailored for non-expert technology managers.

Findings

Quantum algorithms outperform classical ones in specific tasks.

Quantum computing has promising applications in security and simulation.

Many tasks show no quantum advantage, highlighting current limitations.

Abstract

Faster algorithms, novel cryptographic mechanisms, and alternative methods of communication become possible when the model underlying information and computation changes from a classical mechanical model to a quantum mechanical one. Quantum algorithms perform a select set of tasks vastly more efficiently than any classical algorithm, but for many tasks it has been proved that quantum algorithms provide no advantage. The breadth of quantum computing applications is still being explored. Major application areas include security and the many fields that would benefit from efficient quantum simulation. The quantum information processing viewpoint provides insight into classical algorithmic issues as well as a deeper understanding of entanglement and other non-classical aspects of quantum physics. This overview is aimed at technology managers who wish to gain a high level understanding of quantum information processing, particularly quantum computing.