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                <text>Conference Papers</text>
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              <text>Global Analysis of Quantum Technology Discourse</text>
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              <text>Governmental Roles in Research &amp;amp; Development; Hardware; Initiatives and investments; Quantum Computing; Quantum Technology Landscape</text>
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              <text>he study provides a thorough exploration of the global quantum technology landscape, offering valuable insights for researchers, policymakers, and industry stakeholders. It employs advanced analytical methods such as Latent Dirichlet Allocation (LDA) and Non-Negative Matrix Factorization (NMF) for topic modeling. The research focuses on understanding discussion intensity, geographical distribution, co-mentioning patterns among countries, prevalent topics, and keyword-based trends. Utilizing diverse datasets, the study employs heatmaps, network analysis, and thematic analysis to categorize textual data. Evaluation metrics like Topic Coherence and Network Centrality Measures contribute to a robust methodology.Key findings include dominant discussions on quantum computing and investment strategies, with focused attention on governmental roles in R&amp;amp;D and specific quantum computer research. Notably, there is a niche focus on quantum algorithmic risks in Australia. Document characteristics vary, with some blending multiple themes and others centered around a single topic. LDA topic modeling and network analysis identify key countries, showcasing global hotspots and potential collaborations in quantum technology discussions.   2024 IEEE.</text>
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              <text>Thomas A.; Mahajan J.; Verma S.; Saxena A.; Saxena A.; Jain P.</text>
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              <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545206" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545206&lt;/a&gt;
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              <text>ISBN: 979-835038427-7</text>
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              <text>Thomas A., Christ University, Bengaluru, India; Mahajan J., Christ University, Bengaluru, India; Verma S., Microsoft, India; Saxena A., CDAC, India; Saxena A., Christ University, Bengaluru, India; Jain P., Christ University, Bengaluru, India</text>
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