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"# The Inner Product of a Complex Vectors\n",
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<li class="toctree-l1"><a class="reference internal" href="../complex-inner-products/">The Inner Product of a Complex Vectors</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../complex-inner-products/">The Inner Product of Complex Vectors</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../getting-started-with-ollama/">Getting Started With Ollama</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../math/yet-another-jdesmos-demo/">Yet Another JDesmos Demo</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../math/desmos-jupyter/">Using Desmos Graphs in Jupyter Notebooks</a></li>

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<title>The Inner Product of Complex Vectors &mdash; CodeSolid.com 0.1 documentation</title>
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<li class="toctree-l1 current"><a class="current reference internal" href="#">The Inner Product of a Complex Vectors</a><ul>
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<section class="tex2jax_ignore mathjax_ignore" id="the-inner-product-of-a-complex-vectors">
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<h1>The Inner Product of a Complex Vectors<a class="headerlink" href="#the-inner-product-of-a-complex-vectors" title="Link to this heading"></a></h1>
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<section class="tex2jax_ignore mathjax_ignore" id="the-inner-product-of-complex-vectors">
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<h1>The Inner Product of Complex Vectors<a class="headerlink" href="#the-inner-product-of-complex-vectors" title="Link to this heading"></a></h1>
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<p>I recently began viewing Leonard Suskind’s awesome introductory Quantum Mechanics course on Youtube, <a class="reference external" href="https://www.youtube.com/watch?v=iJfw6lDlTuA&amp;amp;list=PL701CD168D02FF56F">The Theoretical Minimum</a>. Toward the end of lecture one, Suskind introduces the Dirac notation for Complex Vector spaces, and how to find the inner product of two complex vectors. I thought I needed to summarize this material to better understand it, and at the same time show how to implement the idea in Python’s numpy.</p>

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