Abstract

The increasing growth of data volume, and the consequent explosion in demand for computational power, are affecting scientific computing, as shown by the rise of extreme data scientific workflows. As the need for computing power increases, quantum computing has been proposed as a way to deliver it. It may provide significant theoretical speedups for many scientific applications (i.e., molecular dynamics, quantum chemistry, combinatorial optimization, and machine learning). Therefore integrating quantum computers into the computing continuum constitutes a promising way to speed up scientific computation. However, the scientific computing community still lacks the necessary tools and expertise to fully harness the power of quantum computers in the execution of complex applications such as scientific workflows. In this work, we describe the main characteristics of quantum computing and its main benefits for …

Metadata

publication

Future Generation Computer Systems 158, 346-366, 2024

year

2024

publication date

2024/9/1

authors

Sandeep Suresh Cranganore, Vincenzo De Maio, Ivona Brandic, Ewa Deelman

link

https://www.sciencedirect.com/science/article/pii/S0167739X24001596

resource_link

https://arxiv.org/pdf/2404.10389

journal

Future Generation Computer Systems

volume

158

pages

346-366

publisher

North-Holland