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pygsti.pp_to_std_transform_matrix.html
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<h1>pygsti.pp_to_std_transform_matrix<a class="headerlink" href="#pygsti-pp-to-std-transform-matrix" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="pygsti.pp_to_std_transform_matrix">
<code class="descclassname">pygsti.</code><code class="descname">pp_to_std_transform_matrix</code><span class="sig-paren">(</span><em>dimOrBlockDims</em><span class="sig-paren">)</span><a class="headerlink" href="#pygsti.pp_to_std_transform_matrix" title="Permalink to this definition">¶</a></dt>
<dd><p>Construct the matrix which transforms a gate matrix in
the Pauil-product basis for a density matrix space to the
Standard basis (for the same space).</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>dimOrBlockDims</strong> (<em>int or list of ints</em>) – Structure of the density-matrix space.</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body">An array of shape (N,N), where N is the dimension
of the density matrix space, i.e. sum( dimOrBlockDims_i^2 ).</td>
</tr>
<tr class="field-odd field"><th class="field-name">Return type:</th><td class="field-body">numpy array</td>
</tr>
</tbody>
</table>
<p class="rubric">Notes</p>
<p>The returned matrix is block diagonal with one block
per term in the direct sum of the the density matrix space.
Each block is the transformation matrix for the corresponding
part of density matrix space, consisting of flattened Pauli-product
basis matrices along it’s columns.</p>
</dd></dl>
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