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	<title>quantum computing in wildfire management &#8211; BIOENGINEER.ORG</title>
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		<title>Quantum Computing and Network Models for Wildfire Fuelbreaks</title>
		<link>https://bioengineer.org/quantum-computing-and-network-models-for-wildfire-fuelbreaks/</link>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 19 Jan 2026 08:23:38 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[adaptive fuelbreak strategies]]></category>
		<category><![CDATA[ecological data-driven fire control]]></category>
		<category><![CDATA[Environmental modeling]]></category>
		<category><![CDATA[Makale içeriğine uygun 5 etiket: **Quantum optimization]]></category>
		<category><![CDATA[network separation modeling]]></category>
		<category><![CDATA[quantum annealing optimization]]></category>
		<category><![CDATA[quantum computing in wildfire management]]></category>
		<category><![CDATA[Wildfire prevention tech]]></category>
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					<description><![CDATA[As wildfires continue to ravage landscapes worldwide, researchers are turning to cutting-edge technologies to craft smarter, more effective strategies for wildfire management. A groundbreaking study by Dent, Stoddard, Smith, and colleagues, soon to be published in Communications Engineering, reveals an innovative approach that harnesses the power of network separation modeling combined with quantum computing to [&#8230;]]]></description>
		
		
		
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