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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

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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.

Why This Paper Matters

This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
It adds a 2024 reference point for readers tracking recent quantum research.
Quantum computing is an interdisciplinary field that relies on the expertise of many different stakeholders.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2406.18363 [2] arXiv https://arxiv.org/abs/2406.18363 [3] Publisher https://arxiv.org/abs/2406.18363

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