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Quantum Machine Learning
Towards View-based Development of Quantum Software
arXiv
Authors: Joshua Ammermann, Wolfgang Mauerer, Ina Schaefer
Year
2024
Paper ID
66072
Status
Preprint
Abstract Read
~2 min
Abstract Words
63
Citations
N/A
Abstract
Quantum computing is an interdisciplinary field that relies on the expertise of many different stakeholders. The views of various stakeholders on the subject of quantum computing may differ, thereby complicating communication. To address this, we propose a view-based quantum development approach based on a Single Underlying Model (SUM) and a supporting quantum Integrated Development Environment (IDE). We highlight emerging challenges for future research.
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