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      <title>Semidefinite programming in quantum information</title>
      <link>https://cgois.github.io/posts/sdps_in_quantum_info/</link>
      <pubDate>Mon, 08 Aug 2022 16:01:30 +0200</pubDate>
      
      <guid>https://cgois.github.io/posts/sdps_in_quantum_info/</guid>
      <description>A tutorial with a bunch of examples of using SDP in quantum information problems (entanglement, joint measurability, violation of Bell inequalities&amp;hellip;), written in Python, Julia and Mathematica.</description>
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      <title>&#34;Other Minds&#34; by Peter Godfrey-Smith</title>
      <link>https://cgois.github.io/posts/other_minds_review/</link>
      <pubDate>Sat, 20 Feb 2021 23:11:21 -0300</pubDate>
      
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      <description>A short review on a layman science book about octopuses and philosophy of mind.</description>
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      <title>CVXPY vs. PICOS: performance comparison for linear programs</title>
      <link>https://cgois.github.io/posts/cvx_vs_picos/</link>
      <pubDate>Sun, 10 Jan 2021 13:54:40 -0300</pubDate>
      
      <guid>https://cgois.github.io/posts/cvx_vs_picos/</guid>
      <description>CVXPY and PICOS are two frequently used optimization program modelling tools for Python. I compare their performance in modelling simple random linear programs.</description>
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      <title>panda2lrs: user-friendly polytope representation in lrs</title>
      <link>https://cgois.github.io/posts/panda2lrs/</link>
      <pubDate>Sun, 04 Oct 2020 02:46:32 -0300</pubDate>
      
      <guid>https://cgois.github.io/posts/panda2lrs/</guid>
      <description>An user-friendly way to write &lt;em&gt;PANDA&lt;/em&gt;-like polytope inequalities and run in &lt;em&gt;lrs&lt;/em&gt;.</description>
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      <title>Parallelizing simple loops in Python</title>
      <link>https://cgois.github.io/posts/processpool/</link>
      <pubDate>Sat, 26 Sep 2020 13:54:40 -0300</pubDate>
      
      <guid>https://cgois.github.io/posts/processpool/</guid>
      <description>Parallelizing loops with no iteration interdependence using Pythons&amp;rsquo; concurrent.futures module.</description>
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