Docs preview for PR #4524.

cuda-quantum-bot · cuda-quantum-bot · commit 43e4d136bb30 · 2026-05-18T20:26:15.000Z
diff --git a/pr-4524/api/languages/python_api.html b/pr-4524/api/languages/python_api.html
@@ -3592,7 +3592,7 @@ <h2>Data Types<a class="headerlink" href="#data-types" title="Permalink to this
 
 <dl class="py attribute">
 <dt class="sig sig-object py" id="cudaq.State.from_data">
-<span class="sig-name descname"><span class="pre">from_data</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">&lt;nanobind.nb_func</span> <span class="pre">object&gt;</span></em><a class="headerlink" href="#cudaq.State.from_data" title="Permalink to this definition">¶</a></dt>
+<span class="sig-name descname"><span class="pre">from_data</span></span><em class="property"><span class="w"> </span><span class="p"><span class="pre">=</span></span><span class="w"> </span><span class="pre">&lt;nanobind.nb_func</span> <span class="pre">object</span> <span class="pre">at</span> <span class="pre">0xb0c81b0&gt;</span></em><a class="headerlink" href="#cudaq.State.from_data" title="Permalink to this definition">¶</a></dt>
 <dd></dd></dl>
 
 <dl class="py attribute">
diff --git a/pr-4524/api/languages/python_api.md b/pr-4524/api/languages/python_api.md
@@ -5763,7 +5763,7 @@ aria-hidden="true"}](../default_ops.html "Quantum Operations"){.btn
 
     :   Print the state to the console.
 
-    [[from_data]{.pre}]{.sig-name .descname}*[ ]{.w}[[=]{.pre}]{.p}[ ]{.w}[\<nanobind.nb_func]{.pre} [object\>]{.pre}*[¶](#cudaq.State.from_data "Permalink to this definition"){.headerlink}
+    [[from_data]{.pre}]{.sig-name .descname}*[ ]{.w}[[=]{.pre}]{.p}[ ]{.w}[\<nanobind.nb_func]{.pre} [object]{.pre} [at]{.pre} [0xb0c81b0\>]{.pre}*[¶](#cudaq.State.from_data "Permalink to this definition"){.headerlink}
 
     :   
 
diff --git a/pr-4524/applications/python/adapt_qaoa.html b/pr-4524/applications/python/adapt_qaoa.html
@@ -1183,7 +1183,7 @@ <h1>ADAPT-QAOA algorithm<a class="headerlink" href="#ADAPT-QAOA-algorithm" title
 parameter</p>
 <p>3- Optimize all parameters currently in the Ansatz <span class="math notranslate nohighlight">\(\beta_m, \gamma_m = 1, 2, ...k\)</span> such that <span class="math notranslate nohighlight">\(\braket{\psi (k)|H_C|\psi(k)}\)</span> is minimized, and return to the second step.</p>
 <p>Below is a schematic representation of the ADAPT-QAOA algorithm explained above.</p>
-<div><p><img alt="e48d429c5e5f4cbb929d2696172da2df" class="no-scaled-link" src="../../_images/adapt-qaoa.png" style="width: 1000px;" /></p>
+<div><p><img alt="2241146b8a174cf0bef75cdee8ea1455" class="no-scaled-link" src="../../_images/adapt-qaoa.png" style="width: 1000px;" /></p>
 </div><div class="nbinput nblast docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[15]:
 </pre></div>
diff --git a/pr-4524/applications/python/adapt_qaoa.md b/pr-4524/applications/python/adapt_qaoa.md
@@ -2122,7 +2122,7 @@ explained above.
 
 <div>
 
-![e48d429c5e5f4cbb929d2696172da2df](../../_images/adapt-qaoa.png){.no-scaled-link
+![2241146b8a174cf0bef75cdee8ea1455](../../_images/adapt-qaoa.png){.no-scaled-link
 style="width: 1000px;"}
 
 </div>
diff --git a/pr-4524/applications/python/adapt_vqe.html b/pr-4524/applications/python/adapt_vqe.html
@@ -1180,7 +1180,7 @@ <h1>ADAPT-VQE algorithm<a class="headerlink" href="#ADAPT-VQE-algorithm" title="
 <p>7- Perform a VQE experiment to re-optimize all parameters in the ansatz.</p>
 <p>8- go to step 4</p>
 <p>Below is a Schematic depiction of the ADAPT-VQE algorithm</p>
-<div><p><img alt="fbcc50c80b9543578bf80ef8c755d580" class="no-scaled-link" src="../../_images/adapt-vqe.png" style="width: 800px;" /></p>
+<div><p><img alt="432a9ea09ba5482786fd738d638f82b0" class="no-scaled-link" src="../../_images/adapt-vqe.png" style="width: 800px;" /></p>
 </div><div class="nbinput docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[1]:
 </pre></div>
diff --git a/pr-4524/applications/python/adapt_vqe.md b/pr-4524/applications/python/adapt_vqe.md
@@ -2090,7 +2090,7 @@ Below is a Schematic depiction of the ADAPT-VQE algorithm
 
 <div>
 
-![fbcc50c80b9543578bf80ef8c755d580](../../_images/adapt-vqe.png){.no-scaled-link
+![432a9ea09ba5482786fd738d638f82b0](../../_images/adapt-vqe.png){.no-scaled-link
 style="width: 800px;"}
 
 </div>
diff --git a/pr-4524/applications/python/deutsch_algorithm.html b/pr-4524/applications/python/deutsch_algorithm.html
@@ -1240,7 +1240,7 @@ <h2>XOR <span class="math notranslate nohighlight">\(\oplus\)</span><a class="he
 </section>
 <section id="Quantum-oracles">
 <h2>Quantum oracles<a class="headerlink" href="#Quantum-oracles" title="Permalink to this heading">¶</a></h2>
-<p><img alt="89ceb9f1f9b6462b94639cc2629bf03f" class="no-scaled-link" src="../../_images/oracle.png" style="width: 300px; height: 150px;" /></p>
+<p><img alt="ca0b359fe2b44ea7aae26ffcdd6e2f0d" class="no-scaled-link" src="../../_images/oracle.png" style="width: 300px; height: 150px;" /></p>
 <p>Suppose we have <span class="math notranslate nohighlight">\(f(x): \{0,1\} \longrightarrow \{0,1\}\)</span>. We can compute this function on a quantum computer using oracles which we treat as black box functions that yield the output with an appropriate sequence of logical gates.</p>
 <p>Above you see an oracle represented as <span class="math notranslate nohighlight">\(U_f\)</span> which allows us to transform the state <span class="math notranslate nohighlight">\(\ket{x}\ket{y}\)</span> into:</p>
 <div class="math notranslate nohighlight">
@@ -1288,7 +1288,7 @@ <h2>Quantum parallelism<a class="headerlink" href="#Quantum-parallelism" title="
 <h2>Deutsch’s Algorithm:<a class="headerlink" href="#Deutsch's-Algorithm:" title="Permalink to this heading">¶</a></h2>
 <p>Our aim is to find out if <span class="math notranslate nohighlight">\(f: \{0,1\} \longrightarrow \{0,1\}\)</span> is a constant or a balanced function? If constant, <span class="math notranslate nohighlight">\(f(0) = f(1)\)</span>, and if balanced, <span class="math notranslate nohighlight">\(f(0) \neq f(1)\)</span>.</p>
 <p>We step through the circuit diagram below and follow the math after the application of each gate.</p>
-<p><img alt="5223040c947e4fbb8fe6f5648600cfd4" class="no-scaled-link" src="../../_images/deutsch.png" style="width: 500px; height: 210px;" /></p>
+<p><img alt="d38f15b19878493194abdda78a77067f" class="no-scaled-link" src="../../_images/deutsch.png" style="width: 500px; height: 210px;" /></p>
 <div class="math notranslate nohighlight">
 \[\ket{\psi_0}  =  \ket{01}
 \tag{1}\]</div>
diff --git a/pr-4524/applications/python/deutsch_algorithm.md b/pr-4524/applications/python/deutsch_algorithm.md
@@ -2171,7 +2171,7 @@ number, the result is 0 otherwise 1.
 ::: {#Quantum-oracles .section}
 ## Quantum oracles[¶](#Quantum-oracles "Permalink to this heading"){.headerlink}
 
-![89ceb9f1f9b6462b94639cc2629bf03f](../../_images/oracle.png){.no-scaled-link
+![ca0b359fe2b44ea7aae26ffcdd6e2f0d](../../_images/oracle.png){.no-scaled-link
 style="width: 300px; height: 150px;"}
 
 Suppose we have [\\(f(x): \\{0,1\\} \\longrightarrow \\{0,1\\}\\)]{.math
@@ -2277,7 +2277,7 @@ balanced function? If constant, [\\(f(0) = f(1)\\)]{.math .notranslate
 We step through the circuit diagram below and follow the math after the
 application of each gate.
 
-![5223040c947e4fbb8fe6f5648600cfd4](../../_images/deutsch.png){.no-scaled-link
+![d38f15b19878493194abdda78a77067f](../../_images/deutsch.png){.no-scaled-link
 style="width: 500px; height: 210px;"}
 
 ::: {.math .notranslate .nohighlight}
diff --git a/pr-4524/applications/python/edge_detection.html b/pr-4524/applications/python/edge_detection.html
@@ -1220,7 +1220,7 @@ <h2>Image<a class="headerlink" href="#Image" title="Permalink to this heading">
 <section id="Quantum-Probability-Image-Encoding-(QPIE):">
 <h2>Quantum Probability Image Encoding (QPIE):<a class="headerlink" href="#Quantum-Probability-Image-Encoding-(QPIE):" title="Permalink to this heading">¶</a></h2>
 <p>Lets take as an example a classical 2x2 image (4 pixels). We can label each pixel with its position</p>
-<div><p><img alt="12dac6b70fd641aeb06af81dafe06521" class="no-scaled-link" src="../../_images/pixels-img.png" style="width: 200px;" /></p>
+<div><p><img alt="ec1e73d80d384d44b0f1ad462f1c31f2" class="no-scaled-link" src="../../_images/pixels-img.png" style="width: 200px;" /></p>
 </div><p>Each pixel will have its own color intensity represented along with its position label as an 8-bit black and white color. To convert the pixel intensity to probability amplitudes of a quantum state</p>
 <div class="math notranslate nohighlight">
 \[c_i = \frac{I_{yx}}{\sqrt(\sum I^2_{yx})}\]</div>
diff --git a/pr-4524/applications/python/edge_detection.md b/pr-4524/applications/python/edge_detection.md
@@ -2123,7 +2123,7 @@ each pixel with its position
 
 <div>
 
-![12dac6b70fd641aeb06af81dafe06521](../../_images/pixels-img.png){.no-scaled-link
+![ec1e73d80d384d44b0f1ad462f1c31f2](../../_images/pixels-img.png){.no-scaled-link
 style="width: 200px;"}
 
 </div>
diff --git a/pr-4524/applications/python/grovers.html b/pr-4524/applications/python/grovers.html
@@ -1262,7 +1262,7 @@ <h3>Good and Bad States<a class="headerlink" href="#Good-and-Bad-States" title="
 <p>Let us now examine the geometric picture behind our current discussion. We’ll consider the ambient Hilbert space to be spanned by the standard basis vectors <span class="math notranslate nohighlight">\(|0\rangle, |1\rangle, \dots, |N-1\rangle\)</span>, where the full dimension is <span class="math notranslate nohighlight">\(N = 2^n\)</span>. Since the uniform superposition state <span class="math notranslate nohighlight">\(|\xi\rangle\)</span> can be expressed as a linear combination of the states <span class="math notranslate nohighlight">\(|G\rangle\)</span> and <span class="math notranslate nohighlight">\(|B\rangle\)</span> with real coefficients, all three states <span class="math notranslate nohighlight">\(|\xi\rangle, |G\rangle,\)</span> and <span class="math notranslate nohighlight">\(|B\rangle\)</span>
 reside in a two-dimensional real subspace of the ambient Hilbert space, which we can visualize as a 2D plane as in the image below. Since, <span class="math notranslate nohighlight">\(|G\rangle\)</span> and <span class="math notranslate nohighlight">\(|B\rangle\)</span> are orthogonal, we can imagine them graphed as unit vectors in the positive <span class="math notranslate nohighlight">\(y\)</span> and positive <span class="math notranslate nohighlight">\(x\)</span> directions, respectively. From our previous expression, <span class="math notranslate nohighlight">\(\ket{\xi} = \sin(\theta) |G\rangle + \cos(\theta) |B\rangle,\)</span> we see that the state <span class="math notranslate nohighlight">\(|\xi\rangle\)</span> forms an angle <span class="math notranslate nohighlight">\(\theta\)</span> with
 <span class="math notranslate nohighlight">\(|B\rangle\)</span>.</p>
-<div style="text-align: center;"><p><img alt="f3666fd44d6548b18abc276c8566c9d0" src="../../_images/grovers-2D-plane.png" /></p>
+<div style="text-align: center;"><p><img alt="6dff779a164b490dba4d6e72c212aa54" src="../../_images/grovers-2D-plane.png" /></p>
 </div><p>Given that the number of marked states <span class="math notranslate nohighlight">\(t\)</span> is typically small compared to <span class="math notranslate nohighlight">\(N\)</span>, it follows that <span class="math notranslate nohighlight">\(\theta = \arcsin\left(\sqrt{\frac{t}{N}}\right)\)</span> is a small angle. This assumption is reasonable, as otherwise, a sufficient number of independent queries to the oracle would likely yield a solution through classical search methods.</p>
 </section>
 <section id="Step-2:-Oracle-application">
@@ -1377,9 +1377,9 @@ <h4>Completing Step 3<a class="headerlink" href="#Completing-Step-3" title="Perm
 <div class="math notranslate nohighlight">
 \[\mathcal{G} = r_\xi \circ r_B = H^{\otimes n} \big( 2|0^{\otimes n} \rangle \langle 0^{\otimes n}| - \text{Id} \big) H^{\otimes n} \mathcal{O}_f.\]</div>
 <p>The circuit diagram below puts together steps 1 through 3:</p>
-<div style="text-align: center;"><p><img alt="d648f0eb3425436087cd7893a4c71d7e" src="../../_images/grovers-steps1-3.png" /></p>
+<div style="text-align: center;"><p><img alt="affa3d4612b14cbb833b5dfd05242659" src="../../_images/grovers-steps1-3.png" /></p>
 </div><p>Running this circuit initializes <span class="math notranslate nohighlight">\(\ket{\xi}\)</span> and performs a rotation by <span class="math notranslate nohighlight">\(2\theta\)</span> (twice the angle between <span class="math notranslate nohighlight">\(|\xi\rangle\)</span> and <span class="math notranslate nohighlight">\(|B\rangle\)</span>) in the direction from <span class="math notranslate nohighlight">\(|B\rangle\)</span> to <span class="math notranslate nohighlight">\(|G\rangle\)</span>.</p>
-<div style="text-align: center;"><p><img alt="73e90bc911ea4748a3c28eb970ea4c25" src="../../_images/grovers-full-rotation.png" /></p>
+<div style="text-align: center;"><p><img alt="434f98e1ef534c1586f6e87bf28c991f" src="../../_images/grovers-full-rotation.png" /></p>
 </div><p>Let’s verify that the state resulting from one iteration of Grover’s algorithm brings us closer to the good state, <span class="math notranslate nohighlight">\(\ket{G}\)</span>. In particular, notice that the amplitudes of <code class="docutils literal notranslate"><span class="pre">1001</span></code> and <code class="docutils literal notranslate"><span class="pre">1111</span></code> in the resulting state have been amplified compared to the equal superposition of states.</p>
 <div class="nbinput docutils container">
 <div class="prompt highlight-none notranslate"><div class="highlight"><pre><span></span>[18]:
diff --git a/pr-4524/applications/python/grovers.md b/pr-4524/applications/python/grovers.md
@@ -2315,7 +2315,7 @@ can imagine them graphed as unit vectors in the positive [\\(y\\)]{.math
 [\\(\|B\\rangle\\)]{.math .notranslate .nohighlight}.
 
 ::: {style="text-align: center;"}
-![f3666fd44d6548b18abc276c8566c9d0](../../_images/grovers-2D-plane.png)
+![6dff779a164b490dba4d6e72c212aa54](../../_images/grovers-2D-plane.png)
 :::
 
 Given that the number of marked states [\\(t\\)]{.math .notranslate
@@ -2530,7 +2530,7 @@ which we will denote by [\\(\\mathcal{G}\\)]{.math .notranslate
 The circuit diagram below puts together steps 1 through 3:
 
 ::: {style="text-align: center;"}
-![d648f0eb3425436087cd7893a4c71d7e](../../_images/grovers-steps1-3.png)
+![affa3d4612b14cbb833b5dfd05242659](../../_images/grovers-steps1-3.png)
 :::
 
 Running this circuit initializes [\\(\\ket{\\xi}\\)]{.math .notranslate
@@ -2542,7 +2542,7 @@ from [\\(\|B\\rangle\\)]{.math .notranslate .nohighlight} to
 [\\(\|G\\rangle\\)]{.math .notranslate .nohighlight}.
 
 ::: {style="text-align: center;"}
-![73e90bc911ea4748a3c28eb970ea4c25](../../_images/grovers-full-rotation.png)
+![434f98e1ef534c1586f6e87bf28c991f](../../_images/grovers-full-rotation.png)
 :::
 
 Let's verify that the state resulting from one iteration of Grover's
diff --git a/pr-4524/applications/python/qm_mm_pe.html b/pr-4524/applications/python/qm_mm_pe.html
@@ -1180,7 +1180,7 @@ <h2>Key concepts:<a class="headerlink" href="#Key-concepts:" title="Permalink to
 </section>
 <section id="PE-VQE-SCF-Algorithm-Steps">
 <h2>PE-VQE-SCF Algorithm Steps<a class="headerlink" href="#PE-VQE-SCF-Algorithm-Steps" title="Permalink to this heading">¶</a></h2>
-<div><p><img alt="42991b78356a4f9e9b754085e9e39475" class="no-scaled-link" src="../../_images/qm-mm-pe.png" style="width: 600px;" /></p>
+<div><p><img alt="2bb1efb7fa4d43a9b3f636192dfbe5b7" class="no-scaled-link" src="../../_images/qm-mm-pe.png" style="width: 600px;" /></p>
 </div><section id="Step-1:-Initialize-(Classical-pre-processing)">
 <h3>Step 1: Initialize (Classical pre-processing)<a class="headerlink" href="#Step-1:-Initialize-(Classical-pre-processing)" title="Permalink to this heading">¶</a></h3>
 <ul class="simple">
diff --git a/pr-4524/applications/python/qm_mm_pe.md b/pr-4524/applications/python/qm_mm_pe.md
@@ -2081,7 +2081,7 @@ mutual polarization.
 
 <div>
 
-![42991b78356a4f9e9b754085e9e39475](../../_images/qm-mm-pe.png){.no-scaled-link
+![2bb1efb7fa4d43a9b3f636192dfbe5b7](../../_images/qm-mm-pe.png){.no-scaled-link
 style="width: 600px;"}
 
 </div>
diff --git a/pr-4524/applications/python/quantum_fourier_transform.html b/pr-4524/applications/python/quantum_fourier_transform.html
@@ -1417,7 +1417,7 @@ <h2>Quantum Fourier Transform revisited<a class="headerlink" href="#Quantum-Four
 </div>
 <div class="output_area docutils container">
 <div class="highlight"><pre>
-CUDA-Q Version pr-4524 (https://github.com/NVIDIA/cuda-quantum 35576e90725ecdfbd0a27c96cc0ded6245d2bfa9)
+CUDA-Q Version pr-4524 (https://github.com/NVIDIA/cuda-quantum a1632d6f770de89e3e10dfbf8b6300a862f362bf)
 </pre></div></div>
 </div>
 </section>
diff --git a/pr-4524/applications/python/quantum_fourier_transform.ipynb b/pr-4524/applications/python/quantum_fourier_transform.ipynb
@@ -147,10 +147,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-18T19:05:10.142718Z",
-     "iopub.status.busy": "2026-05-18T19:05:10.142445Z",
-     "iopub.status.idle": "2026-05-18T19:05:10.357055Z",
-     "shell.execute_reply": "2026-05-18T19:05:10.356670Z"
+     "iopub.execute_input": "2026-05-18T19:52:35.893653Z",
+     "iopub.status.busy": "2026-05-18T19:52:35.893342Z",
+     "iopub.status.idle": "2026-05-18T19:52:36.166383Z",
+     "shell.execute_reply": "2026-05-18T19:52:36.165989Z"
     }
    },
    "outputs": [],
@@ -188,10 +188,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-18T19:05:10.358777Z",
-     "iopub.status.busy": "2026-05-18T19:05:10.358539Z",
-     "iopub.status.idle": "2026-05-18T19:05:10.514094Z",
-     "shell.execute_reply": "2026-05-18T19:05:10.513605Z"
+     "iopub.execute_input": "2026-05-18T19:52:36.168566Z",
+     "iopub.status.busy": "2026-05-18T19:52:36.168294Z",
+     "iopub.status.idle": "2026-05-18T19:52:36.335281Z",
+     "shell.execute_reply": "2026-05-18T19:52:36.334788Z"
     }
    },
    "outputs": [
@@ -285,10 +285,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-18T19:05:10.517124Z",
-     "iopub.status.busy": "2026-05-18T19:05:10.516955Z",
-     "iopub.status.idle": "2026-05-18T19:05:10.536577Z",
-     "shell.execute_reply": "2026-05-18T19:05:10.536116Z"
+     "iopub.execute_input": "2026-05-18T19:52:36.336795Z",
+     "iopub.status.busy": "2026-05-18T19:52:36.336667Z",
+     "iopub.status.idle": "2026-05-18T19:52:36.354246Z",
+     "shell.execute_reply": "2026-05-18T19:52:36.353699Z"
     }
    },
    "outputs": [],
@@ -326,10 +326,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-18T19:05:10.538348Z",
-     "iopub.status.busy": "2026-05-18T19:05:10.537963Z",
-     "iopub.status.idle": "2026-05-18T19:05:10.964625Z",
-     "shell.execute_reply": "2026-05-18T19:05:10.964243Z"
+     "iopub.execute_input": "2026-05-18T19:52:36.355909Z",
+     "iopub.status.busy": "2026-05-18T19:52:36.355733Z",
+     "iopub.status.idle": "2026-05-18T19:52:36.806716Z",
+     "shell.execute_reply": "2026-05-18T19:52:36.806366Z"
     }
    },
    "outputs": [
@@ -398,18 +398,18 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-05-18T19:05:10.968239Z",
-     "iopub.status.busy": "2026-05-18T19:05:10.967094Z",
-     "iopub.status.idle": "2026-05-18T19:05:10.970598Z",
-     "shell.execute_reply": "2026-05-18T19:05:10.970230Z"
+     "iopub.execute_input": "2026-05-18T19:52:36.808626Z",
+     "iopub.status.busy": "2026-05-18T19:52:36.808372Z",
+     "iopub.status.idle": "2026-05-18T19:52:36.811776Z",
+     "shell.execute_reply": "2026-05-18T19:52:36.811245Z"
     }
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CUDA-Q Version pr-4524 (https://github.com/NVIDIA/cuda-quantum 35576e90725ecdfbd0a27c96cc0ded6245d2bfa9)\n"
+      "CUDA-Q Version pr-4524 (https://github.com/NVIDIA/cuda-quantum a1632d6f770de89e3e10dfbf8b6300a862f362bf)\n"
      ]
     }
    ],
diff --git a/pr-4524/applications/python/quantum_fourier_transform.md b/pr-4524/applications/python/quantum_fourier_transform.md
@@ -2421,7 +2421,7 @@ above.
 
 ::: {.output_area .docutils .container}
 ::: highlight
-    CUDA-Q Version pr-4524 (https://github.com/NVIDIA/cuda-quantum 35576e90725ecdfbd0a27c96cc0ded6245d2bfa9)
+    CUDA-Q Version pr-4524 (https://github.com/NVIDIA/cuda-quantum a1632d6f770de89e3e10dfbf8b6300a862f362bf)
 :::
 :::
 :::
diff --git a/pr-4524/applications/python/skqd.html b/pr-4524/applications/python/skqd.html
diff --git a/pr-4524/applications/python/skqd.md b/pr-4524/applications/python/skqd.md
diff --git a/pr-4524/examples/python/performance_optimizations.html b/pr-4524/examples/python/performance_optimizations.html
diff --git a/pr-4524/examples/python/performance_optimizations.md b/pr-4524/examples/python/performance_optimizations.md
diff --git a/pr-4524/searchindex.js b/pr-4524/searchindex.js

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`@@ -5763,7 +5763,7 @@ aria-hidden="true"}](../default_ops.html "Quantum Operations"){.btn`
`5763`	`5763`
`5764`	`5764`	`: Print the state to the console.`
`5765`	`5765`
`5766`		`- [[from_data]{.pre}]{.sig-name .descname}[ ]{.w}[[=]{.pre}]{.p}[ ]{.w}[\<nanobind.nb_func]{.pre} [object\>]{.pre}[¶](#cudaq.State.from_data "Permalink to this definition"){.headerlink}`
	`5766`	`+ [[from_data]{.pre}]{.sig-name .descname}[ ]{.w}[[=]{.pre}]{.p}[ ]{.w}[\<nanobind.nb_func]{.pre} [object]{.pre} [at]{.pre} [0xb0c81b0\>]{.pre}[¶](#cudaq.State.from_data "Permalink to this definition"){.headerlink}`
`5767`	`5767`
`5768`	`5768`	`:`
`5769`	`5769`