Global innovation and competition in quantum technology, viewed through the lens of patents and artificial intelligence
8th March 2023
Cipher forms basis of new quantum technology research paper
The authors of a newly-published research paper looking at quantum technology, have credited the Cipher platform for enabling them to publish the study.
Global innovation and competition in quantum technology, viewed through the lens of patents and artificial intelligence, features in the International Journal of Intellectual Property Management.
The paper’s co-author, Professor. Dr. Kelvin W. Willoughby, commented: “the analysis of patent data using the AI tools embedded in Cipher enables a vastly superior analysis of emerging technology-related industry than other methods.”
The authors – Professor Willoughby and Zeki Can Seskir – were able to access the Cipher platform via our Academic Programme.
Abstract of the paper
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.
Cipher has received permission to make this study available for access.
Further information on Cipher’s abilities
How can you know what patents are relevant to you? Many patent owners are trying to achieve one or more of:
- understanding the competitive landscape
- benchmarking against their competitors
- reviewing their portfolio
- exploring monetisation options
- performing due diligence
In practice, it’s unrealistic to be able to complete these tasks manually. Cipher can help classify patents using machine learning.
- Title: Global Innovation and Competition in Quantum Technology, Viewed Through the Lens of Patents and Artificial Intelligence
- Journal: International Journal of Intellectual Property Management, 13, 1 (2023), 40-61.
- Authors: Zeki Can Seskir & Kelvin W. Willoughby
- URL: https://doi.org/10.1504/IJIPM.