Multi-disk clutch optimization using quantum annealing

TL;DR

This paper presents a quantum annealing approach to optimize multi-disk clutch manufacturing, demonstrating potential advantages over classical methods and discussing future industrial relevance.

Contribution

It introduces a novel quantum algorithm for clutch optimization and compares quantum and hybrid solvers with classical benchmarks in an industrial context.

Findings

Quantum annealing shows promising performance in clutch optimization.

Hybrid quantum-classical methods outperform some classical algorithms.

Discussion on future industrial applications of quantum technology.

Abstract

In this work, we develop a new quantum algorithm to solve a combinatorial problem with significant practical relevance occurring in clutch manufacturing. It is demonstrated how quantum optimization can play a role in real industrial applications in the manufacturing sector. Using the quantum annealer provided by D-Wave Systems, we analyze the performance of the quantum and quantum-classical hybrid solvers and compare them to deterministic- and random-algorithm classical benchmark solvers. The continued evolution of the quantum technology, indicating an expectation for even greater relevance in the future is discussed and the revolutionary potential it could have in the manufacturing sector is highlighted.