Work

Resource-Aware QAOA for Autoclave Batch Scheduling: Supplementary Materials and Reproducibility Dataset

Year: 2026

Type: dataset

Abstract: This repository contains the supplementary material and reproducibility dataset for the manuscript “Resource-Aware QAOA for Autoclave Batch Scheduling in Composite Manufacturing Using QUBO Decomposition and Parameter Transfer.” It includes fixed-seed statevector QAOA training outputs, held-out parameter-transfer results, exact uniform-sampling null baselines, corrected distinct ZZ-interaction counts, end-to-end synthetic scheduling benchmarks, paired statistical tests, bootstrap confidence intervals, the frozen parameter bank, and scripts for post-processing, validation, and figure regeneration. The repository distinguishes the QAOA subproblem generator from the end-to-end production generator and documents that all training and held-out subproblems have a unique optimal decoded subset. No proprietary production data are included.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22774346

Authors: Barah, Obinna Onyebuchi, Otaru, Abdulrazak Jinadu, Bori, Ige, Albin Zaid, Zaid Abdulhamid Alhulaybi, AlMuhaysh, Khalad A.

Institutions: Kampala International University, King Faisal University, Federal University of Technology Minna

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7213333339

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