Quantum AI for Application in Industry : A Workflow Model

In this research paper investigates the integration of Quantum Computing (QC) and Artificial Intelligence (AI) to develop a replicable workflow for quantum applications. The study addresses the significant challenges of integrating quantum algorithms into existing infrastructures and the extensive expertise required for their development and operation. The research explores and identifies the potential innovations helpful in bridging the gap between QC technologies and industrial needs. The research employs a systematic literature review and case studies incorporated in a Multi-Level Perspective (MLP) approach to analyse the interactions between technological innovations and industry adoption. The paper provides a comprehensive Technological Innovation System (TIS) framework for developing quantum applications, emphasizing the synergy between AI and QC to enhance computational capabilities and address complex industrial challenges. Key components necessary for creating a comprehensive ecosystem for quantum application development, including AI hardware integration, quantum algorithm research, and error-correction advancements, are identified. The primary contribution of this study is a workflow design created to be reproducible across multiple industries. This innovative approach reduces the dependency on specialized knowledge and can accelerate the integration of quantum solutions in various industries.