diff --git a/docs/_index_included.yaml b/docs/_index_included.yaml
index 7ac94059..3d48661a 100644
--- a/docs/_index_included.yaml
+++ b/docs/_index_included.yaml
@@ -98,3 +98,11 @@ included:
- heading: Ground State
description: Create a toric code ground state.
path: /cirq/experiments/toric_code/toric_code_ground_state
+
+- heading: Kardar-Parisi-Zhang Physics
+ description: Probe the dynamics of transferred magnetization in the Heisenberg spin chain.
+ options:
+ - cards
+ items:
+ - heading: Experiment example
+ path: /cirq/experiments/kpz/kpz
diff --git a/docs/kpz/kpz.ipynb b/docs/kpz/kpz.ipynb
index c8296ffd..eb9d30e9 100644
--- a/docs/kpz/kpz.ipynb
+++ b/docs/kpz/kpz.ipynb
@@ -153,13 +153,13 @@
{
"data": {
"text/plain": [
- "array([[0, 0, 1, 0],\n",
+ "array([[1, 1, 1, 0],\n",
" [1, 1, 0, 0],\n",
" [0, 1, 0, 0],\n",
" ...,\n",
+ " [1, 1, 0, 1],\n",
" [1, 1, 0, 0],\n",
- " [1, 1, 0, 0],\n",
- " [1, 1, 1, 0]])"
+ " [1, 1, 0, 0]])"
]
},
"execution_count": 5,
@@ -188,18 +188,18 @@
{
"data": {
"text/html": [
- "
0: ───────FSim(0.4π, 0.8π)──────────────────────FSim(0.4π, 0.8π)──────────────────────M('m')───\n",
+ "0: ───X───FSim(0.4π, 0.8π)──────────────────────FSim(0.4π, 0.8π)──────────────────────M('m')───\n",
" │ │ │\n",
- "1: ───────FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───M────────\n",
+ "1: ───X───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───M────────\n",
" │ │ │\n",
"2: ───X───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───M────────\n",
" │ │ │\n",
"3: ───────FSim(0.4π, 0.8π)──────────────────────FSim(0.4π, 0.8π)──────────────────────M────────
"
],
"text/plain": [
- "0: ───────FSim(0.4π, 0.8π)──────────────────────FSim(0.4π, 0.8π)──────────────────────M('m')───\n",
+ "0: ───X───FSim(0.4π, 0.8π)──────────────────────FSim(0.4π, 0.8π)──────────────────────M('m')───\n",
" │ │ │\n",
- "1: ───────FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───M────────\n",
+ "1: ───X───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───M────────\n",
" │ │ │\n",
"2: ───X───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───FSim(0.4π, 0.8π)───M────────\n",
" │ │ │\n",
@@ -235,8 +235,8 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:15<00:00, 64.63it/s]\n",
- "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 934.73it/s]\n"
+ "100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:15<00:00, 62.84it/s]\n",
+ "100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1000/1000 [00:01<00:00, 886.57it/s]\n"
]
}
],
@@ -264,13 +264,13 @@
{
"data": {
"text/plain": [
- "array([[[0, 0, 0, 1],\n",
- " [0, 0, 0, 1],\n",
- " [0, 0, 0, 1],\n",
+ "array([[[0, 1, 1, 1],\n",
+ " [0, 1, 1, 1],\n",
+ " [0, 1, 1, 1],\n",
" ...,\n",
- " [1, 0, 0, 0],\n",
- " [1, 0, 0, 0],\n",
- " [1, 0, 0, 0]],\n",
+ " [1, 1, 1, 0],\n",
+ " [1, 1, 1, 0],\n",
+ " [1, 1, 1, 0]],\n",
"\n",
" [[0, 0, 1, 1],\n",
" [0, 0, 1, 1],\n",
@@ -290,6 +290,14 @@
"\n",
" ...,\n",
"\n",
+ " [[0, 1, 1, 1],\n",
+ " [0, 1, 1, 1],\n",
+ " [0, 1, 1, 1],\n",
+ " ...,\n",
+ " [1, 1, 1, 0],\n",
+ " [1, 1, 1, 0],\n",
+ " [1, 1, 1, 0]],\n",
+ "\n",
" [[0, 0, 1, 1],\n",
" [0, 0, 1, 1],\n",
" [0, 0, 1, 1],\n",
@@ -304,15 +312,7 @@
" ...,\n",
" [1, 1, 0, 0],\n",
" [1, 1, 0, 0],\n",
- " [1, 1, 0, 0]],\n",
- "\n",
- " [[0, 1, 1, 1],\n",
- " [0, 1, 1, 1],\n",
- " [0, 1, 1, 1],\n",
- " ...,\n",
- " [1, 1, 1, 0],\n",
- " [1, 1, 1, 0],\n",
- " [1, 1, 1, 0]]])"
+ " [1, 1, 0, 0]]])"
]
},
"execution_count": 8,
@@ -371,7 +371,7 @@
},
{
"data": {
- "image/png": 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\n",
+ "image/png": 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\n",
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