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61 | 61 | <li class="toctree-l2"><a class="reference internal" href="#overview">Overview</a></li> |
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113 | | - <section class="tex2jax_ignore mathjax_ignore" id="the-inner-product-of-a-complex-vectors"> |
114 | | -<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> |
| 113 | + <section class="tex2jax_ignore mathjax_ignore" id="the-inner-product-of-complex-vectors"> |
| 114 | +<h1>The Inner Product of Complex Vectors<a class="headerlink" href="#the-inner-product-of-complex-vectors" title="Link to this heading"></a></h1> |
115 | 115 | <section id="overview"> |
116 | 116 | <h2>Overview<a class="headerlink" href="#overview" title="Link to this heading"></a></h2> |
117 | 117 | <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;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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