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		<title>Machine learning models bring fast quantum gate control to edge hardware</title>
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					<description><![CDATA[Machine learning models optimized for edge hardware can determine control-pulse parameters for SNAP gates in microwave cavity qudits with gate trace infidelity near 10^-3.]]></description>
		
		
		
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