From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware
Tobias Rohe, Simon Gr\"atz, Michael K\"olle, Sebastian Zielinski, Jonas Stein, Claudia Linnhoff-Popien

TL;DR
This paper introduces a comprehensive, structured pipeline for developing quantum optimization solutions, aiming to guide stakeholders through complex QC projects in the NISQ and post-NISQ eras.
Contribution
It presents a novel, detailed development pipeline with 22 activities across five stages, including project management review points, tailored for early quantum computing eras.
Findings
The pipeline covers five key stages from use-case to post-processing.
It incorporates project management and risk assessment.
Designed to improve success rates of quantum software projects.
Abstract
With constant improvements of quantum hardware and quantum algorithms, quantum advantage comes within reach. Parallel to the development of the computer at the end of the twentieth century, quantum software development will now also rapidly gain in importance and scale. On account of the inherent complexity and novelty of quantum computing (QC), as well as the expected lack of expertise of many of the stakeholders involved in its development, QC software development projects are exposed to the risk of being conducted in a crowded and unstructured way, lacking clear guidance and understanding. This paper presents a comprehensive quantum optimisation development pipeline, novel in its depth of 22 activities across multiple stages, coupled with project management insights, uniquely targeted to the late noisy intermediate-scale quantum (NISQ) [1] and early post-NISQ eras. We have…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture
