A methodical approach to evaluate the potential of Quantum Computing for Manufacturing Simulations

TL;DR

This paper presents a systematic method to assess the potential of quantum computing in manufacturing simulations, focusing on identifying bottlenecks and evaluating quantum suitability through a case study on aerospace component milling.

Contribution

It introduces a novel approach for evaluating quantum computing's applicability in manufacturing, including defining suitability indicators and testing a hybrid simulation routine.

Findings

Identified key bottlenecks in manufacturing simulations.

Developed indicators for quantum computing feasibility.

Presented initial results of hybrid milling simulation on quantum hardware.

Abstract

In this paper, a methodical approach to evaluate the potential of quantum computing for manufacturing simulation, using the example of multi-axis milling of thin-walled aerospace components, is discussed. A developed approach for identifying bottlenecks in manufacturing simulations, for which the application of quantum computing potentially provides a speed-up or increase in accuracy, is presented. Moreover, indicators of quantum computing suitability and feasibility are defined with the main objective of identifying whether a manufacturing simulation bottleneck is suitable for quantum computing applications. First results of testing a hybrid routine as an application approach for the milling dynamics simulation on quantum machines are presented.