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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Zhenghan Wang</author_name><author_url>https://www.microsoft.com/en-us/research/people/zhenghwa/</author_url><title>Mathematics of topological quantum computing - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="wz37YojZbX"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/mathematics-topological-quantum-computing/"&gt;Mathematics of topological quantum computing&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/mathematics-topological-quantum-computing/embed/#?secret=wz37YojZbX" width="600" height="338" title="&#x201C;Mathematics of topological quantum computing&#x201D; &#x2014; Microsoft Research" data-secret="wz37YojZbX" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>In topological quantum computing, information is encoded in &#x201C;knotted&#x201D; quantum states of topological phases of matter, thus being locked into topology to prevent decay. Topological precision has been confirmed in quantum Hall liquids by experiments to an accuracy of 10^-10, and harnessed to stabilize quantum memory. In this survey, we discuss the conceptual development of [&hellip;]</description></oembed>
