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Institute
In this work we elucidate international trends in the field of quantum technology (QT) by analysing a global patent database built from an operational definition of QT that was generated through the curated application of artificial intelligence (AI). In doing so, we demonstrate how the sophisticated use of intellectual property information, enhanced by the artful deployment of AI techniques, may produce more reliable and useful revelations for policymakers and managers about global innovation in emerging fields of technology than is possible through conventional methods of data collection and analysis. We also demonstrate the utility of this approach for reliably characterising the evolving constituent sub-fields of QT. By adopting a hybrid human-AI approach to both the definition and the analysis of QT, we have produced some novel insights about global innovation and national organisational profiles in the QT field, particularly concerning dynamic competition between the USA and China.
We utilized an AI-enhanced patent search tool and demonstrated its applicability to an emerging technological field where searches relying upon CPC codes and keywords may generate high numbers of false positives. We have chosen quantum technology as the technical domain for this study because it contains various sub-fields of technology that cannot be neatly classified within CPC classes. To demonstrate the power of our AI-enhanced approach we produced insights from the dataset generated by the AI tool to analyze the distribution of international technical knowledge and the relative positions of global competitors in the patent landscape of quantum technology.