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	<title>strategic planning for quantum-enabled green hydrogen systems &#8211; Science</title>
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	<title>strategic planning for quantum-enabled green hydrogen systems &#8211; Science</title>
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		<title>Qualitative Study Maps Quantum Computing’s Potential Role in Green Hydrogen</title>
		<link>https://scienmag.com/qualitative-study-maps-quantum-computings-potential-role-in-green-hydrogen/</link>
		
		<dc:creator><![CDATA[Katie Riggs]]></dc:creator>
		<pubDate>Wed, 21 Oct 2026 07:39:47 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[applications of quantum technology in renewable energy]]></category>
		<category><![CDATA[catalyst discovery]]></category>
		<category><![CDATA[catalyst discovery for green hydrogen]]></category>
		<category><![CDATA[clean energy]]></category>
		<category><![CDATA[electrolysis efficiency]]></category>
		<category><![CDATA[electrolysis efficiency optimization]]></category>
		<category><![CDATA[green hydrogen]]></category>
		<category><![CDATA[green hydrogen sustainability strategies]]></category>
		<category><![CDATA[green information systems]]></category>
		<category><![CDATA[hydrogen storage]]></category>
		<category><![CDATA[hydrogen storage system improvements]]></category>
		<category><![CDATA[integrating quantum computing in industrial and transportation sectors]]></category>
		<category><![CDATA[national agenda]]></category>
		<category><![CDATA[organizational challenges of disruptive quantum technologies]]></category>
		<category><![CDATA[organizational strategy]]></category>
		<category><![CDATA[qualitative research on quantum computing and renewable energy]]></category>
		<category><![CDATA[Quantum]]></category>
		<category><![CDATA[Quantum Computing]]></category>
		<category><![CDATA[Quantum computing in green hydrogen development]]></category>
		<category><![CDATA[stakeholder perspectives on quantum computing]]></category>
		<category><![CDATA[stakeholder theory]]></category>
		<category><![CDATA[strategic planning for quantum-enabled green hydrogen systems]]></category>
		<category><![CDATA[system-level decision-making in green energy]]></category>
		<category><![CDATA[Technology]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=328015</guid>

					<description><![CDATA[A qualitative information-systems study identifies potential quantum-computing contributions to catalyst research, electrolysis, storage and system decisions in a national green-hydrogen agenda.]]></description>
										<content:encoded><![CDATA[<p>A qualitative information-systems study identifies potential contributions from quantum computing to national green-hydrogen development, including catalyst discovery, electrolysis efficiency, storage optimization and system-level decision-making. The research does not show that quantum computers already outperform classical systems or produce operational environmental benefits in green-hydrogen systems.</p>
<p>Published in <em>Information Systems Frontiers</em>, the study examines how quantum technology could be incorporated into green information systems supporting a national green-hydrogen agenda. Its scope covers four sectors identified in the research: agricultural practices, industrial operations, transportation and electricity. Rather than testing a quantum-computing prototype, the work explores the organizational and strategic challenges associated with managing a potentially disruptive technology within a sustainability mission.</p>
<p>The researchers combined interviews with focus-group discussions to capture varied experiences and perspectives on advancing the national green-hydrogen agenda. They analyzed this material through Organizing Vision Theory and Stakeholder Theory. Together, these theoretical lenses provide a framework for strategic visioning and collaboration, helping the study consider how organizations might approach a disruptive technology when it is connected to a wider sustainability objective. The qualitative evidence was used to identify challenges, opportunities and strategies associated with the transition toward green hydrogen.</p>
<p>Quantum computing emerges in the findings as a possible enabling technology across several parts of the green-hydrogen ecosystem. The study associates it with improving catalyst discovery, enhancing electrolysis efficiency and optimizing storage. It also considers how quantum computing might support system-level decisions involving the four sectors in the national agenda. These findings describe areas of potential contribution identified through the research; the available evidence does not include performance measurements demonstrating that a quantum system has delivered gains in catalyst development, electrolysis, storage or decision-making.</p>
<p>The research is best understood as a qualitative strategic assessment rather than a demonstration of technical or commercial performance. The source material does not report sample sizes, participant characteristics, detailed interview procedures, quantitative benchmarks or operational outcomes. It therefore cannot establish improved hydrogen yields, lower emissions, faster development cycles, cost savings or superiority over classical computing. Its main contribution is to connect quantum-technology strategy with green information systems and to set out potential roles for quantum computing across a multi-sector green-hydrogen agenda.</p>
<p><strong>Subject of Research:</strong> Qualitative study of quantum-computing strategy for national green-hydrogen development</p>
<p><strong>Article Title:</strong> Quantum Technology for Green IS: An Empirical Investigation of Quantum Technology Strategy for Green Hydrogen</p>
<p><strong>Article References:</strong> Pattanaik, P. K., Gupta, S., &amp; Jha, A. K. (2026). Quantum Technology for Green IS: An Empirical Investigation of Quantum Technology Strategy for Green Hydrogen. <em>Information Systems Frontiers</em>. <a href="https://doi.org/10.1007/s10796-026-10831-2" rel="noopener noreferrer">https://doi.org/10.1007/s10796-026-10831-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s10796-026-10831-2" rel="noopener noreferrer">10.1007/s10796-026-10831-2</a></p>
<p><strong>Keywords:</strong> quantum computing, green hydrogen, green information systems, catalyst discovery, electrolysis efficiency, hydrogen storage, clean energy, stakeholder theory, organizational strategy, national agenda, Quantum, Technology</p>
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