Qubit Adoption Method of a Quantum Computing-Based Metaheuristics Algorithm for Truss Structures Analysis.

Area of Science:

• Engineering
• Computer Science
• Physics

Background:

• Quantum computing (QC) is a key technology of the Fourth Industrial Revolution.
• Metaheuristics algorithms using QC are primarily developed in computer engineering.
• Applications of QC in architectural optimal design are limited.

Purpose of the Study:

• To propose and evaluate novel methods for integrating qubits into the quantum-based harmony search (QbHS) algorithm.
• To apply these methods to truss topology optimization (TTO) in structural engineering.
• To compare the performance of different qubit adoption strategies.

Main Methods:

• Developed four distinct methods for adopting qubits in the QbHS algorithm's pitch adjustment.
• Applied the modified QbHS algorithms to truss topology optimization (TTO) problems.
• Analyzed the convergence performance based on qubit adoption and iteration count.

Main Results:

• All four proposed methods demonstrated superior convergence performance compared to conventional harmony search (HS) algorithms.
• Convergence performance varied across the four qubit adoption methods.
• The number of qubits adopted generally remained stable or decreased with changing iterations.

Conclusions:

• The integration of QC metaheuristics, specifically QbHS with qubit adoption, shows promise for structural engineering optimal design.
• These advancements are expected to benefit architectural design and computer information systems.
• Further research can explore diverse applications of QC in engineering optimization.