Are essential to translate ideas into instructions that can be executed by a quantum computer. They are crucial to the programming of quantum computers at scale but also they can facilitate the discovery and development of quantum algorithms even before hardware exists that is capable of executing them. These are used for controlling existing physical devices, for estimating the execution costs of quantum algorithms on future devices, for teaching quantum computing concepts, or for verifying quantum algorithms and their implementations.
Published in Chapter:
Quantum Software Engineering and Technology
Subramaniam Meenakshi Sundaram (GSSS Institute of Engineering and Technology for Women, India) and Tejaswini R. Murgod (GSSS Institute of Engineering and Technology for Women, India)
Copyright: © 2022
|Pages: 15
DOI: 10.4018/978-1-7998-9183-3.ch007
Abstract
Quantum technology works with and relies on sub-atomic particles or physics that operates on the quantum level. Quantum computing has become a mature field, having diversified applications in supply chain and logistics, chemistry, economics and financial services, energy and agriculture, medicine and health, etc. In the recent years, companies have started to incorporate quantum software to benefit the research and the practitioner communities. Software engineering and programming practices need to be brought into the domain of quantum computing. Quantum algorithms provide the ability to analyze the data and offer simulations based on the data. A few of the quantum computing programming languages include QISKit, Q#, Cirq, and forest are used to write and run quantum programs. In this chapter, the authors provide an overall picture of the problems and challenges of developing quantum software and up-to-date software engineering processes, methods, techniques, practices, and principles for the development of quantum software to both researchers and practitioners.