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<p>Quantum computing (QC) is anticipated to provide significant computational advantages. It will aid in the solution of numerous difficult and computationally unsolvable issues across a wide range of application areas. The rise of commercial QC has sparked a renewed interest in quantum algorithm (QA) research. To customize effective quantum oracles to meet particular computing requirements, innovative QA is needed to take advantage of parallelism. The current article presents a comprehensive review of QA and its role in Industry 4.0. QA has applications in the fields of cryptography, search and optimization, quantum system simulation, and large-scale linear problem-solving. While previous reviews that focus just on algorithmic theory or specific domains, the current study provides a comprehensive viewpoint by combining a wide conceptual assessment with a scientometric analysis of 1165 QA related articles published between 2014 and 2023, as sourced from the Scopus database. Scientometric analysis shows the Document Co-citation Analysis, Countries Collaboration, and Burst Analysis of the aforementioned documents. The current article sheds light on the utilization of QA across diverse domains and offers valuable insights to enhance its effectiveness in various applications. Moreover, it identifies the top clusters derived from the scientometric study, and it would serve as focal points for future research.</p>

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Industrial progress with quantum algorithms: an in-depth review

  • 期刊论文

  • 发表日期：

    2025年6月21日

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  • Sandeep Kumar Sood,
  • Manmohan Singh,
  • Munish Bhatia

摘要

Quantum computing (QC) is anticipated to provide significant computational advantages. It will aid in the solution of numerous difficult and computationally unsolvable issues across a wide range of application areas. The rise of commercial QC has sparked a renewed interest in quantum algorithm (QA) research. To customize effective quantum oracles to meet particular computing requirements, innovative QA is needed to take advantage of parallelism. The current article presents a comprehensive review of QA and its role in Industry 4.0. QA has applications in the fields of cryptography, search and optimization, quantum system simulation, and large-scale linear problem-solving. While previous reviews that focus just on algorithmic theory or specific domains, the current study provides a comprehensive viewpoint by combining a wide conceptual assessment with a scientometric analysis of 1165 QA related articles published between 2014 and 2023, as sourced from the Scopus database. Scientometric analysis shows the Document Co-citation Analysis, Countries Collaboration, and Burst Analysis of the aforementioned documents. The current article sheds light on the utilization of QA across diverse domains and offers valuable insights to enhance its effectiveness in various applications. Moreover, it identifies the top clusters derived from the scientometric study, and it would serve as focal points for future research.