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Quantum Machine Learning
Full-Stack Quantum Software in Practice: Ecosystem, Stakeholders and Challenges
arXiv
Authors: Vlad Stirbu, Majid Haghparast, Muhammad Waseem, Niraj Dayama, Tommi Mikkonen
Year
2023
Paper ID
56282
Status
Preprint
Abstract Read
~2 min
Abstract Words
109
Citations
N/A
Abstract
The emergence of quantum computing has introduced a revolutionary paradigm capable of transforming numerous scientific and industrial sectors. Nevertheless, realizing the practical utilization of quantum software in real-world applications presents significant challenges. Factors such as variations in hardware implementations, the intricacy of quantum algorithms, the integration of quantum and traditional software, and the absence of standardized software and communication interfaces hinder the development of a skilled workforce in this domain. This paper explores tangible approaches to establishing quantum computing software development process and addresses the concerns of various stakeholders. By addressing these challenges, we aim to pave the way for the effective utilization of quantum computing in diverse fields.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2023 reference point for readers tracking recent quantum research.
- The emergence of quantum computing has introduced a revolutionary paradigm capable of transforming numerous scientific and industrial sectors.
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