diff --git a/applications/finance/portfolio_optimization_hhl/HHL_portfolio.ipynb b/applications/finance/portfolio_optimization_hhl/HHL_portfolio.ipynb
index c373960d5..be78af9aa 100644
--- a/applications/finance/portfolio_optimization_hhl/HHL_portfolio.ipynb
+++ b/applications/finance/portfolio_optimization_hhl/HHL_portfolio.ipynb
@@ -20,22 +20,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install pandas_datareader"
+    "# !pip install yfinance\n",
+    "# !pip install pandas_datareader"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install yfinance"
+    "# import datetime\n",
+    "# import yfinance as yf\n",
+    "\n",
+    "\n",
+    "# codes = ['NVDA', 'AAPL', 'TSLA', 'AMZN']\n",
+    "\n",
+    "\n",
+    "# start = datetime.datetime(2024, 1, 1)\n",
+    "# end   = datetime.datetime(2024, 12, 31)\n",
+    "\n",
+    "# data = yf.download(codes, start=start, end=end, auto_adjust=False, progress=False)\n",
+    "\n",
+    "\n",
+    "# df = data['Adj Close']\n",
+    "# df.to_csv(\"asset_data.csv\")\n",
+    "# display(df.head(10))"
    ]
   },
   {
@@ -54,165 +70,1334 @@
     "from classiq import *"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5",
+   "metadata": {},
+   "source": [
+    "## Loading Dataset of Stock\n",
+    "We define csv_data which was generated from `yfinance`.  We use the data from `2024-01-02` to `2024-12-30`."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "5",
+   "id": "6",
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
-       "      <th>AAPL</th>\n",
-       "      <th>AMZN</th>\n",
-       "      <th>NVDA</th>\n",
-       "      <th>TSLA</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Date</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>2024-01-02</th>\n",
-       "      <td>183.903244</td>\n",
-       "      <td>149.929993</td>\n",
-       "      <td>48.141174</td>\n",
-       "      <td>248.419998</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-03</th>\n",
-       "      <td>182.526215</td>\n",
-       "      <td>148.470001</td>\n",
-       "      <td>47.542507</td>\n",
-       "      <td>238.449997</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-04</th>\n",
-       "      <td>180.208130</td>\n",
-       "      <td>144.570007</td>\n",
-       "      <td>47.971275</td>\n",
-       "      <td>237.929993</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-05</th>\n",
-       "      <td>179.484940</td>\n",
-       "      <td>145.240005</td>\n",
-       "      <td>49.069656</td>\n",
-       "      <td>237.490005</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-08</th>\n",
-       "      <td>183.823975</td>\n",
-       "      <td>149.100006</td>\n",
-       "      <td>52.223904</td>\n",
-       "      <td>240.449997</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-09</th>\n",
-       "      <td>183.407898</td>\n",
-       "      <td>151.369995</td>\n",
-       "      <td>53.110413</td>\n",
-       "      <td>234.960007</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-10</th>\n",
-       "      <td>184.448074</td>\n",
-       "      <td>153.729996</td>\n",
-       "      <td>54.319736</td>\n",
-       "      <td>233.940002</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-11</th>\n",
-       "      <td>183.853683</td>\n",
-       "      <td>155.179993</td>\n",
-       "      <td>54.791473</td>\n",
-       "      <td>227.220001</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-12</th>\n",
-       "      <td>184.180634</td>\n",
-       "      <td>154.619995</td>\n",
-       "      <td>54.679531</td>\n",
-       "      <td>218.889999</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2024-01-16</th>\n",
-       "      <td>181.912018</td>\n",
-       "      <td>153.160004</td>\n",
-       "      <td>56.350613</td>\n",
-       "      <td>219.910004</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "Ticker            AAPL        AMZN       NVDA        TSLA\n",
-       "Date                                                     \n",
-       "2024-01-02  183.903244  149.929993  48.141174  248.419998\n",
-       "2024-01-03  182.526215  148.470001  47.542507  238.449997\n",
-       "2024-01-04  180.208130  144.570007  47.971275  237.929993\n",
-       "2024-01-05  179.484940  145.240005  49.069656  237.490005\n",
-       "2024-01-08  183.823975  149.100006  52.223904  240.449997\n",
-       "2024-01-09  183.407898  151.369995  53.110413  234.960007\n",
-       "2024-01-10  184.448074  153.729996  54.319736  233.940002\n",
-       "2024-01-11  183.853683  155.179993  54.791473  227.220001\n",
-       "2024-01-12  184.180634  154.619995  54.679531  218.889999\n",
-       "2024-01-16  181.912018  153.160004  56.350613  219.910004"
-      ]
-     },
-     "jetTransient": {
-      "display_id": null
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              AAPL    AMZN   NVDA    TSLA\n",
+      "Date                                     \n",
+      "2024-01-02  183.90  149.92  48.14  248.41\n",
+      "2024-01-03  182.52  148.47  47.54  238.44\n",
+      "2024-01-04  180.20  144.57  47.97  237.92\n",
+      "2024-01-05  179.48  145.24  49.06  237.49\n",
+      "2024-01-08  183.82  149.10  52.22  240.44\n",
+      "2024-01-09  183.40  151.36  53.11  234.96\n",
+      "2024-01-10  184.44  153.72  54.31  233.94\n",
+      "2024-01-11  183.85  155.17  54.79  227.22\n",
+      "2024-01-12  184.18  154.61  54.67  218.88\n",
+      "2024-01-16  181.91  153.16  56.35  219.91\n"
+     ]
     }
    ],
    "source": [
-    "import datetime\n",
-    "\n",
-    "import yfinance as yf\n",
-    "\n",
-    "codes = [\"NVDA\", \"AAPL\", \"TSLA\", \"AMZN\"]\n",
-    "\n",
-    "\n",
-    "start = datetime.datetime(2024, 1, 1)\n",
-    "end = datetime.datetime(2024, 12, 31)\n",
-    "\n",
-    "data = yf.download(codes, start=start, end=end, auto_adjust=False, progress=False)\n",
-    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
     "\n",
-    "df = data[\"Adj Close\"]\n",
-    "display(df.head(10))"
+    "stock_data = {\n",
+    "    \"Date\": [\n",
+    "        \"2024-01-02\",\n",
+    "        \"2024-01-03\",\n",
+    "        \"2024-01-04\",\n",
+    "        \"2024-01-05\",\n",
+    "        \"2024-01-08\",\n",
+    "        \"2024-01-09\",\n",
+    "        \"2024-01-10\",\n",
+    "        \"2024-01-11\",\n",
+    "        \"2024-01-12\",\n",
+    "        \"2024-01-16\",\n",
+    "        \"2024-01-17\",\n",
+    "        \"2024-01-18\",\n",
+    "        \"2024-01-19\",\n",
+    "        \"2024-01-22\",\n",
+    "        \"2024-01-23\",\n",
+    "        \"2024-01-24\",\n",
+    "        \"2024-01-25\",\n",
+    "        \"2024-01-26\",\n",
+    "        \"2024-01-29\",\n",
+    "        \"2024-01-30\",\n",
+    "        \"2024-01-31\",\n",
+    "        \"2024-02-01\",\n",
+    "        \"2024-02-02\",\n",
+    "        \"2024-02-05\",\n",
+    "        \"2024-02-06\",\n",
+    "        \"2024-02-07\",\n",
+    "        \"2024-02-08\",\n",
+    "        \"2024-02-09\",\n",
+    "        \"2024-02-12\",\n",
+    "        \"2024-02-13\",\n",
+    "        \"2024-02-14\",\n",
+    "        \"2024-02-15\",\n",
+    "        \"2024-02-16\",\n",
+    "        \"2024-02-20\",\n",
+    "        \"2024-02-21\",\n",
+    "        \"2024-02-22\",\n",
+    "        \"2024-02-23\",\n",
+    "        \"2024-02-26\",\n",
+    "        \"2024-02-27\",\n",
+    "        \"2024-02-28\",\n",
+    "        \"2024-02-29\",\n",
+    "        \"2024-03-01\",\n",
+    "        \"2024-03-04\",\n",
+    "        \"2024-03-05\",\n",
+    "        \"2024-03-06\",\n",
+    "        \"2024-03-07\",\n",
+    "        \"2024-03-08\",\n",
+    "        \"2024-03-11\",\n",
+    "        \"2024-03-12\",\n",
+    "        \"2024-03-13\",\n",
+    "        \"2024-03-14\",\n",
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+    "        \"2024-03-18\",\n",
+    "        \"2024-03-19\",\n",
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+    "        \"2024-03-28\",\n",
+    "        \"2024-04-01\",\n",
+    "        \"2024-04-02\",\n",
+    "        \"2024-04-03\",\n",
+    "        \"2024-04-04\",\n",
+    "        \"2024-04-05\",\n",
+    "        \"2024-04-08\",\n",
+    "        \"2024-04-09\",\n",
+    "        \"2024-04-10\",\n",
+    "        \"2024-04-11\",\n",
+    "        \"2024-04-12\",\n",
+    "        \"2024-04-15\",\n",
+    "        \"2024-04-16\",\n",
+    "        \"2024-04-17\",\n",
+    "        \"2024-04-18\",\n",
+    "        \"2024-04-19\",\n",
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+    "        \"2024-04-23\",\n",
+    "        \"2024-04-24\",\n",
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+    "        \"2024-04-26\",\n",
+    "        \"2024-04-29\",\n",
+    "        \"2024-04-30\",\n",
+    "        \"2024-05-01\",\n",
+    "        \"2024-05-02\",\n",
+    "        \"2024-05-03\",\n",
+    "        \"2024-05-06\",\n",
+    "        \"2024-05-07\",\n",
+    "        \"2024-05-08\",\n",
+    "        \"2024-05-09\",\n",
+    "        \"2024-05-10\",\n",
+    "        \"2024-05-13\",\n",
+    "        \"2024-05-14\",\n",
+    "        \"2024-05-15\",\n",
+    "        \"2024-05-16\",\n",
+    "        \"2024-05-17\",\n",
+    "        \"2024-05-20\",\n",
+    "        \"2024-05-21\",\n",
+    "        \"2024-05-22\",\n",
+    "        \"2024-05-23\",\n",
+    "        \"2024-05-24\",\n",
+    "        \"2024-05-28\",\n",
+    "        \"2024-05-29\",\n",
+    "        \"2024-05-30\",\n",
+    "        \"2024-05-31\",\n",
+    "        \"2024-06-03\",\n",
+    "        \"2024-06-04\",\n",
+    "        \"2024-06-05\",\n",
+    "        \"2024-06-06\",\n",
+    "        \"2024-06-07\",\n",
+    "        \"2024-06-10\",\n",
+    "        \"2024-06-11\",\n",
+    "        \"2024-06-12\",\n",
+    "        \"2024-06-13\",\n",
+    "        \"2024-06-14\",\n",
+    "        \"2024-06-17\",\n",
+    "        \"2024-06-18\",\n",
+    "        \"2024-06-20\",\n",
+    "        \"2024-06-21\",\n",
+    "        \"2024-06-24\",\n",
+    "        \"2024-06-25\",\n",
+    "        \"2024-06-26\",\n",
+    "        \"2024-06-27\",\n",
+    "        \"2024-06-28\",\n",
+    "        \"2024-07-01\",\n",
+    "        \"2024-07-02\",\n",
+    "        \"2024-07-03\",\n",
+    "        \"2024-07-05\",\n",
+    "        \"2024-07-08\",\n",
+    "        \"2024-07-09\",\n",
+    "        \"2024-07-10\",\n",
+    "        \"2024-07-11\",\n",
+    "        \"2024-07-12\",\n",
+    "        \"2024-07-15\",\n",
+    "        \"2024-07-16\",\n",
+    "        \"2024-07-17\",\n",
+    "        \"2024-07-18\",\n",
+    "        \"2024-07-19\",\n",
+    "        \"2024-07-22\",\n",
+    "        \"2024-07-23\",\n",
+    "        \"2024-07-24\",\n",
+    "        \"2024-07-25\",\n",
+    "        \"2024-07-26\",\n",
+    "        \"2024-07-29\",\n",
+    "        \"2024-07-30\",\n",
+    "        \"2024-07-31\",\n",
+    "        \"2024-08-01\",\n",
+    "        \"2024-08-02\",\n",
+    "        \"2024-08-05\",\n",
+    "        \"2024-08-06\",\n",
+    "        \"2024-08-07\",\n",
+    "        \"2024-08-08\",\n",
+    "        \"2024-08-09\",\n",
+    "        \"2024-08-12\",\n",
+    "        \"2024-08-13\",\n",
+    "        \"2024-08-14\",\n",
+    "        \"2024-08-15\",\n",
+    "        \"2024-08-16\",\n",
+    "        \"2024-08-19\",\n",
+    "        \"2024-08-20\",\n",
+    "        \"2024-08-21\",\n",
+    "        \"2024-08-22\",\n",
+    "        \"2024-08-23\",\n",
+    "        \"2024-08-26\",\n",
+    "        \"2024-08-27\",\n",
+    "        \"2024-08-28\",\n",
+    "        \"2024-08-29\",\n",
+    "        \"2024-08-30\",\n",
+    "        \"2024-09-03\",\n",
+    "        \"2024-09-04\",\n",
+    "        \"2024-09-05\",\n",
+    "        \"2024-09-06\",\n",
+    "        \"2024-09-09\",\n",
+    "        \"2024-09-10\",\n",
+    "        \"2024-09-11\",\n",
+    "        \"2024-09-12\",\n",
+    "        \"2024-09-13\",\n",
+    "        \"2024-09-16\",\n",
+    "        \"2024-09-17\",\n",
+    "        \"2024-09-18\",\n",
+    "        \"2024-09-19\",\n",
+    "        \"2024-09-20\",\n",
+    "        \"2024-09-23\",\n",
+    "        \"2024-09-24\",\n",
+    "        \"2024-09-25\",\n",
+    "        \"2024-09-26\",\n",
+    "        \"2024-09-27\",\n",
+    "        \"2024-09-30\",\n",
+    "        \"2024-10-01\",\n",
+    "        \"2024-10-02\",\n",
+    "        \"2024-10-03\",\n",
+    "        \"2024-10-04\",\n",
+    "        \"2024-10-07\",\n",
+    "        \"2024-10-08\",\n",
+    "        \"2024-10-09\",\n",
+    "        \"2024-10-10\",\n",
+    "        \"2024-10-11\",\n",
+    "        \"2024-10-14\",\n",
+    "        \"2024-10-15\",\n",
+    "        \"2024-10-16\",\n",
+    "        \"2024-10-17\",\n",
+    "        \"2024-10-18\",\n",
+    "        \"2024-10-21\",\n",
+    "        \"2024-10-22\",\n",
+    "        \"2024-10-23\",\n",
+    "        \"2024-10-24\",\n",
+    "        \"2024-10-25\",\n",
+    "        \"2024-10-28\",\n",
+    "        \"2024-10-29\",\n",
+    "        \"2024-10-30\",\n",
+    "        \"2024-10-31\",\n",
+    "        \"2024-11-01\",\n",
+    "        \"2024-11-04\",\n",
+    "        \"2024-11-05\",\n",
+    "        \"2024-11-06\",\n",
+    "        \"2024-11-07\",\n",
+    "        \"2024-11-08\",\n",
+    "        \"2024-11-11\",\n",
+    "        \"2024-11-12\",\n",
+    "        \"2024-11-13\",\n",
+    "        \"2024-11-14\",\n",
+    "        \"2024-11-15\",\n",
+    "        \"2024-11-18\",\n",
+    "        \"2024-11-19\",\n",
+    "        \"2024-11-20\",\n",
+    "        \"2024-11-21\",\n",
+    "        \"2024-11-22\",\n",
+    "        \"2024-11-25\",\n",
+    "        \"2024-11-26\",\n",
+    "        \"2024-11-27\",\n",
+    "        \"2024-11-29\",\n",
+    "        \"2024-12-02\",\n",
+    "        \"2024-12-03\",\n",
+    "        \"2024-12-04\",\n",
+    "        \"2024-12-05\",\n",
+    "        \"2024-12-06\",\n",
+    "        \"2024-12-09\",\n",
+    "        \"2024-12-10\",\n",
+    "        \"2024-12-11\",\n",
+    "        \"2024-12-12\",\n",
+    "        \"2024-12-13\",\n",
+    "        \"2024-12-16\",\n",
+    "        \"2024-12-17\",\n",
+    "        \"2024-12-18\",\n",
+    "        \"2024-12-19\",\n",
+    "        \"2024-12-20\",\n",
+    "        \"2024-12-23\",\n",
+    "        \"2024-12-24\",\n",
+    "        \"2024-12-26\",\n",
+    "        \"2024-12-27\",\n",
+    "        \"2024-12-30\",\n",
+    "    ],\n",
+    "    \"AAPL\": [\n",
+    "        183.9,\n",
+    "        182.52,\n",
+    "        180.2,\n",
+    "        179.48,\n",
+    "        183.82,\n",
+    "        183.4,\n",
+    "        184.44,\n",
+    "        183.85,\n",
+    "        184.18,\n",
+    "        181.91,\n",
+    "        180.97,\n",
+    "        186.86,\n",
+    "        189.76,\n",
+    "        192.07,\n",
+    "        193.35,\n",
+    "        192.68,\n",
+    "        192.35,\n",
+    "        190.61,\n",
+    "        189.93,\n",
+    "        186.28,\n",
+    "        182.67,\n",
+    "        185.11,\n",
+    "        184.11,\n",
+    "        185.92,\n",
+    "        187.52,\n",
+    "        187.63,\n",
+    "        186.55,\n",
+    "        187.32,\n",
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+    "        139.51,\n",
+    "        140.36,\n",
+    "        141.49,\n",
+    "        140.47,\n",
+    "        141.2,\n",
+    "        139.29,\n",
+    "        132.71,\n",
+    "        135.35,\n",
+    "        136.0,\n",
+    "        139.86,\n",
+    "        145.56,\n",
+    "        148.82,\n",
+    "        147.57,\n",
+    "        145.21,\n",
+    "        148.23,\n",
+    "        146.21,\n",
+    "        146.7,\n",
+    "        141.93,\n",
+    "        140.1,\n",
+    "        146.95,\n",
+    "        145.84,\n",
+    "        146.61,\n",
+    "        141.9,\n",
+    "        135.97,\n",
+    "        136.87,\n",
+    "        135.29,\n",
+    "        138.2,\n",
+    "        138.58,\n",
+    "        140.21,\n",
+    "        145.09,\n",
+    "        145.02,\n",
+    "        142.4,\n",
+    "        138.77,\n",
+    "        135.03,\n",
+    "        139.27,\n",
+    "        137.3,\n",
+    "        134.21,\n",
+    "        131.96,\n",
+    "        130.35,\n",
+    "        128.87,\n",
+    "        130.64,\n",
+    "        134.66,\n",
+    "        139.63,\n",
+    "        140.18,\n",
+    "        139.89,\n",
+    "        136.97,\n",
+    "        137.45,\n",
+    "    ],\n",
+    "    \"TSLA\": [\n",
+    "        248.41,\n",
+    "        238.44,\n",
+    "        237.92,\n",
+    "        237.49,\n",
+    "        240.44,\n",
+    "        234.96,\n",
+    "        233.94,\n",
+    "        227.22,\n",
+    "        218.88,\n",
+    "        219.91,\n",
+    "        215.55,\n",
+    "        211.88,\n",
+    "        212.19,\n",
+    "        208.8,\n",
+    "        209.13,\n",
+    "        207.83,\n",
+    "        182.63,\n",
+    "        183.25,\n",
+    "        190.92,\n",
+    "        191.58,\n",
+    "        187.28,\n",
+    "        188.86,\n",
+    "        187.91,\n",
+    "        181.05,\n",
+    "        185.1,\n",
+    "        187.58,\n",
+    "        189.55,\n",
+    "        193.57,\n",
+    "        188.13,\n",
+    "        184.02,\n",
+    "        188.71,\n",
+    "        200.44,\n",
+    "        199.94,\n",
+    "        193.75,\n",
+    "        194.77,\n",
+    "        197.41,\n",
+    "        191.97,\n",
+    "        199.39,\n",
+    "        199.72,\n",
+    "        202.03,\n",
+    "        201.88,\n",
+    "        202.63,\n",
+    "        188.13,\n",
+    "        180.74,\n",
+    "        176.53,\n",
+    "        178.64,\n",
+    "        175.33,\n",
+    "        177.77,\n",
+    "        177.53,\n",
+    "        169.47,\n",
+    "        162.5,\n",
+    "        163.57,\n",
+    "        173.8,\n",
+    "        171.32,\n",
+    "        175.66,\n",
+    "        172.82,\n",
+    "        170.83,\n",
+    "        172.63,\n",
+    "        177.66,\n",
+    "        179.83,\n",
+    "        175.78,\n",
+    "        175.22,\n",
+    "        166.63,\n",
+    "        168.38,\n",
+    "        171.11,\n",
+    "        164.89,\n",
+    "        172.97,\n",
+    "        176.88,\n",
+    "        171.75,\n",
+    "        174.6,\n",
+    "        171.05,\n",
+    "        161.47,\n",
+    "        157.11,\n",
+    "        155.44,\n",
+    "        149.92,\n",
+    "        147.05,\n",
+    "        142.05,\n",
+    "        144.67,\n",
+    "        162.13,\n",
+    "        170.17,\n",
+    "        168.28,\n",
+    "        194.05,\n",
+    "        183.27,\n",
+    "        179.99,\n",
+    "        180.0,\n",
+    "        181.19,\n",
+    "        184.75,\n",
+    "        177.8,\n",
+    "        174.72,\n",
+    "        171.97,\n",
+    "        168.47,\n",
+    "        171.88,\n",
+    "        177.55,\n",
+    "        173.99,\n",
+    "        174.83,\n",
+    "        177.46,\n",
+    "        174.94,\n",
+    "        186.6,\n",
+    "        180.11,\n",
+    "        173.74,\n",
+    "        179.24,\n",
+    "        176.75,\n",
+    "        176.19,\n",
+    "        178.78,\n",
+    "        178.08,\n",
+    "        176.28,\n",
+    "        174.77,\n",
+    "        175.0,\n",
+    "        177.94,\n",
+    "        177.47,\n",
+    "        173.78,\n",
+    "        170.66,\n",
+    "        177.28,\n",
+    "        182.47,\n",
+    "        178.0,\n",
+    "        187.44,\n",
+    "        184.86,\n",
+    "        181.57,\n",
+    "        183.0,\n",
+    "        182.58,\n",
+    "        187.35,\n",
+    "        196.36,\n",
+    "        197.41,\n",
+    "        197.88,\n",
+    "        209.86,\n",
+    "        231.25,\n",
+    "        246.38,\n",
+    "        251.52,\n",
+    "        252.94,\n",
+    "        262.32,\n",
+    "        263.26,\n",
+    "        241.02,\n",
+    "        248.22,\n",
+    "        252.63,\n",
+    "        256.55,\n",
+    "        248.5,\n",
+    "        249.22,\n",
+    "        239.19,\n",
+    "        251.5,\n",
+    "        246.38,\n",
+    "        215.99,\n",
+    "        220.25,\n",
+    "        219.8,\n",
+    "        232.1,\n",
+    "        222.61,\n",
+    "        232.07,\n",
+    "        216.86,\n",
+    "        207.66,\n",
+    "        198.88,\n",
+    "        200.63,\n",
+    "        191.75,\n",
+    "        198.83,\n",
+    "        200.0,\n",
+    "        197.49,\n",
+    "        207.83,\n",
+    "        201.38,\n",
+    "        214.13,\n",
+    "        216.11,\n",
+    "        222.72,\n",
+    "        221.1,\n",
+    "        223.27,\n",
+    "        210.66,\n",
+    "        220.32,\n",
+    "        213.21,\n",
+    "        209.21,\n",
+    "        205.75,\n",
+    "        206.27,\n",
+    "        214.11,\n",
+    "        210.6,\n",
+    "        219.41,\n",
+    "        230.16,\n",
+    "        210.72,\n",
+    "        216.27,\n",
+    "        226.16,\n",
+    "        228.13,\n",
+    "        229.8,\n",
+    "        230.28,\n",
+    "        226.77,\n",
+    "        227.86,\n",
+    "        227.19,\n",
+    "        243.91,\n",
+    "        238.25,\n",
+    "        250.0,\n",
+    "        254.27,\n",
+    "        257.01,\n",
+    "        254.22,\n",
+    "        260.45,\n",
+    "        261.63,\n",
+    "        258.01,\n",
+    "        249.02,\n",
+    "        240.66,\n",
+    "        250.08,\n",
+    "        240.83,\n",
+    "        244.5,\n",
+    "        241.05,\n",
+    "        238.77,\n",
+    "        217.8,\n",
+    "        219.16,\n",
+    "        219.57,\n",
+    "        221.33,\n",
+    "        220.88,\n",
+    "        220.69,\n",
+    "        218.85,\n",
+    "        217.97,\n",
+    "        213.64,\n",
+    "        260.48,\n",
+    "        269.19,\n",
+    "        262.51,\n",
+    "        259.51,\n",
+    "        257.54,\n",
+    "        249.85,\n",
+    "        248.97,\n",
+    "        242.83,\n",
+    "        251.44,\n",
+    "        288.52,\n",
+    "        296.91,\n",
+    "        321.22,\n",
+    "        350.0,\n",
+    "        328.48,\n",
+    "        330.23,\n",
+    "        311.17,\n",
+    "        320.72,\n",
+    "        338.73,\n",
+    "        346.0,\n",
+    "        342.02,\n",
+    "        339.64,\n",
+    "        352.55,\n",
+    "        338.58,\n",
+    "        338.23,\n",
+    "        332.89,\n",
+    "        345.16,\n",
+    "        357.08,\n",
+    "        351.42,\n",
+    "        357.92,\n",
+    "        369.48,\n",
+    "        389.22,\n",
+    "        389.79,\n",
+    "        400.98,\n",
+    "        424.76,\n",
+    "        418.1,\n",
+    "        436.23,\n",
+    "        463.01,\n",
+    "        479.85,\n",
+    "        440.13,\n",
+    "        436.17,\n",
+    "        421.05,\n",
+    "        430.6,\n",
+    "        462.27,\n",
+    "        454.13,\n",
+    "        431.66,\n",
+    "        417.41,\n",
+    "    ],\n",
+    "}\n",
+    "\n",
+    "# Create DataFrame from the dictionary\n",
+    "df = pd.DataFrame(stock_data)\n",
+    "num_data = len(df)\n",
+    "\n",
+    "# Process Date as index (Ensuring 1:1 match with provided data)\n",
+    "df[\"Date\"] = pd.to_datetime(df[\"Date\"])\n",
+    "df.set_index(\"Date\", inplace=True)\n",
+    "print(df.head(10))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7",
+   "metadata": {},
+   "source": [
+    "## Plot the stock price of selected stock"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "6",
+   "id": "8",
    "metadata": {},
    "outputs": [
     {
@@ -227,14 +1412,11 @@
     },
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     }
@@ -245,7 +1427,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7",
+   "id": "9",
    "metadata": {},
    "source": [
     "## Conversion to Daily Returns\n",
@@ -262,7 +1444,7 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "8",
+   "id": "10",
    "metadata": {},
    "outputs": [
     {
@@ -285,7 +1467,7 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
+       "      <th></th>\n",
        "      <th>AAPL</th>\n",
        "      <th>AMZN</th>\n",
        "      <th>NVDA</th>\n",
@@ -302,37 +1484,37 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2024-12-23</th>\n",
-       "      <td>0.003065</td>\n",
+       "      <td>0.003079</td>\n",
        "      <td>0.000622</td>\n",
-       "      <td>0.036897</td>\n",
-       "      <td>0.022657</td>\n",
+       "      <td>0.036908</td>\n",
+       "      <td>0.022681</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-12-24</th>\n",
-       "      <td>0.011478</td>\n",
-       "      <td>0.017729</td>\n",
-       "      <td>0.003938</td>\n",
-       "      <td>0.073572</td>\n",
+       "      <td>0.011451</td>\n",
+       "      <td>0.017774</td>\n",
+       "      <td>0.003939</td>\n",
+       "      <td>0.073549</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-12-26</th>\n",
-       "      <td>0.003176</td>\n",
+       "      <td>0.003190</td>\n",
        "      <td>-0.008732</td>\n",
-       "      <td>-0.002068</td>\n",
-       "      <td>-0.017630</td>\n",
+       "      <td>-0.002069</td>\n",
+       "      <td>-0.017609</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-12-27</th>\n",
-       "      <td>-0.013242</td>\n",
+       "      <td>-0.013264</td>\n",
        "      <td>-0.014534</td>\n",
-       "      <td>-0.020868</td>\n",
+       "      <td>-0.020874</td>\n",
        "      <td>-0.049479</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-12-30</th>\n",
-       "      <td>-0.013263</td>\n",
+       "      <td>-0.013245</td>\n",
        "      <td>-0.010950</td>\n",
-       "      <td>0.003503</td>\n",
+       "      <td>0.003504</td>\n",
        "      <td>-0.033012</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -340,30 +1522,27 @@
        "</div>"
       ],
       "text/plain": [
-       "Ticker          AAPL      AMZN      NVDA      TSLA\n",
+       "                AAPL      AMZN      NVDA      TSLA\n",
        "Date                                              \n",
-       "2024-12-23  0.003065  0.000622  0.036897  0.022657\n",
-       "2024-12-24  0.011478  0.017729  0.003938  0.073572\n",
-       "2024-12-26  0.003176 -0.008732 -0.002068 -0.017630\n",
-       "2024-12-27 -0.013242 -0.014534 -0.020868 -0.049479\n",
-       "2024-12-30 -0.013263 -0.010950  0.003503 -0.033012"
+       "2024-12-23  0.003079  0.000622  0.036908  0.022681\n",
+       "2024-12-24  0.011451  0.017774  0.003939  0.073549\n",
+       "2024-12-26  0.003190 -0.008732 -0.002069 -0.017609\n",
+       "2024-12-27 -0.013264 -0.014534 -0.020874 -0.049479\n",
+       "2024-12-30 -0.013245 -0.010950  0.003504 -0.033012"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "daily_return = df.pct_change()\n",
+    "daily_return = df.pct_change().dropna()\n",
     "display(daily_return.tail())"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "9",
+   "id": "11",
    "metadata": {},
    "source": [
     "## Expected Return\n",
@@ -378,30 +1557,29 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "10",
+   "id": "12",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Ticker\n",
-      "AAPL    0.338947\n",
-      "AMZN    0.432249\n",
-      "NVDA    1.195816\n",
-      "TSLA    0.721127\n",
+      "AAPL    0.337606\n",
+      "AMZN    0.430596\n",
+      "NVDA    1.191089\n",
+      "TSLA    0.718326\n",
       "dtype: float64\n"
      ]
     }
    ],
    "source": [
-    "expected_return = daily_return.dropna(how=\"all\").mean() * 252\n",
+    "expected_return = daily_return.dropna(how=\"all\").mean() * num_data\n",
     "print(expected_return)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "11",
+   "id": "13",
    "metadata": {},
    "source": [
     "## Variance-Covariance Matrix\n",
@@ -443,7 +1621,7 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "12",
+   "id": "14",
    "metadata": {},
    "outputs": [
     {
@@ -466,77 +1644,66 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
+       "      <th></th>\n",
        "      <th>AAPL</th>\n",
        "      <th>AMZN</th>\n",
        "      <th>NVDA</th>\n",
        "      <th>TSLA</th>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ticker</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>AAPL</th>\n",
-       "      <td>0.050395</td>\n",
-       "      <td>0.021255</td>\n",
-       "      <td>0.029957</td>\n",
-       "      <td>0.046904</td>\n",
+       "      <td>0.050204</td>\n",
+       "      <td>0.021167</td>\n",
+       "      <td>0.029819</td>\n",
+       "      <td>0.046741</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AMZN</th>\n",
-       "      <td>0.021255</td>\n",
-       "      <td>0.079215</td>\n",
-       "      <td>0.064514</td>\n",
-       "      <td>0.056807</td>\n",
+       "      <td>0.021167</td>\n",
+       "      <td>0.078892</td>\n",
+       "      <td>0.064226</td>\n",
+       "      <td>0.056531</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NVDA</th>\n",
-       "      <td>0.029957</td>\n",
-       "      <td>0.064514</td>\n",
-       "      <td>0.276052</td>\n",
-       "      <td>0.071397</td>\n",
+       "      <td>0.029819</td>\n",
+       "      <td>0.064226</td>\n",
+       "      <td>0.274981</td>\n",
+       "      <td>0.071096</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TSLA</th>\n",
-       "      <td>0.046904</td>\n",
-       "      <td>0.056807</td>\n",
-       "      <td>0.071397</td>\n",
-       "      <td>0.405138</td>\n",
+       "      <td>0.046741</td>\n",
+       "      <td>0.056531</td>\n",
+       "      <td>0.071096</td>\n",
+       "      <td>0.403576</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "Ticker      AAPL      AMZN      NVDA      TSLA\n",
-       "Ticker                                        \n",
-       "AAPL    0.050395  0.021255  0.029957  0.046904\n",
-       "AMZN    0.021255  0.079215  0.064514  0.056807\n",
-       "NVDA    0.029957  0.064514  0.276052  0.071397\n",
-       "TSLA    0.046904  0.056807  0.071397  0.405138"
+       "          AAPL      AMZN      NVDA      TSLA\n",
+       "AAPL  0.050204  0.021167  0.029819  0.046741\n",
+       "AMZN  0.021167  0.078892  0.064226  0.056531\n",
+       "NVDA  0.029819  0.064226  0.274981  0.071096\n",
+       "TSLA  0.046741  0.056531  0.071096  0.403576"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "cov = daily_return.dropna(how=\"all\").cov() * 252\n",
+    "cov = daily_return.dropna(how=\"all\").cov() * num_data\n",
     "display(cov)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "13",
+   "id": "15",
    "metadata": {},
    "source": [
     "## Portfolio Optimization\n",
@@ -576,7 +1743,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "14",
+   "id": "16",
    "metadata": {},
    "source": [
     "## Lagrange Multiplier Method in Mathematical Optimization\n",
@@ -666,7 +1833,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "15",
+   "id": "17",
    "metadata": {},
    "source": [
     "## Preprocessing for HHL"
@@ -674,7 +1841,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "16",
+   "id": "18",
    "metadata": {},
    "source": [
     "### Construction of matrix $W$"
@@ -683,7 +1850,7 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "17",
+   "id": "19",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -693,24 +1860,23 @@
   {
    "cell_type": "code",
    "execution_count": 10,
-   "id": "18",
+   "id": "20",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[[0.         0.         0.33894724 0.43224904 1.19581591 0.72112662]\n",
+      "[[0.         0.         0.33760624 0.43059648 1.19108918 0.71832606]\n",
       " [0.         0.         1.         1.         1.         1.        ]\n",
-      " [0.33894724 1.         0.05039505 0.02125517 0.02995673 0.04690396]\n",
-      " [0.43224904 1.         0.02125517 0.07921499 0.06451395 0.05680673]\n",
-      " [1.19581591 1.         0.02995673 0.06451395 0.2760517  0.07139746]\n",
-      " [0.72112662 1.         0.04690396 0.05680673 0.07139746 0.40513769]]\n"
+      " [0.33760624 1.         0.05020389 0.02116691 0.02981871 0.04674084]\n",
+      " [0.43059648 1.         0.02116691 0.07889178 0.06422647 0.05653149]\n",
+      " [1.19108918 1.         0.02981871 0.06422647 0.27498126 0.07109579]\n",
+      " [0.71832606 1.         0.04674084 0.05653149 0.07109579 0.40357553]]\n"
      ]
     }
    ],
    "source": [
-    "R = expected_return.values\n",
     "Pi = np.ones(4)\n",
     "S = cov.values\n",
     "\n",
@@ -725,7 +1891,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19",
+   "id": "21",
    "metadata": {},
    "source": [
     "### Construction of Vector $\\begin{pmatrix}\\mu\\\\1\\\\\\mathbf{0}\\end{pmatrix}$"
@@ -734,7 +1900,7 @@
   {
    "cell_type": "code",
    "execution_count": 11,
-   "id": "20",
+   "id": "22",
    "metadata": {},
    "outputs": [
     {
@@ -759,7 +1925,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "21",
+   "id": "23",
    "metadata": {},
    "source": [
     "## Redefining the Matrix\n",
@@ -776,7 +1942,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "22",
+   "id": "24",
    "metadata": {},
    "source": [
     "### 1) Normalized b\n",
@@ -786,7 +1952,7 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "id": "23",
+   "id": "25",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -796,7 +1962,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "24",
+   "id": "26",
    "metadata": {},
    "source": [
     "### 2) Make the Matrix $A$ of Size $2^n\\times 2^n $\n",
@@ -823,7 +1989,7 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "id": "25",
+   "id": "27",
    "metadata": {},
    "outputs": [
     {
@@ -831,12 +1997,12 @@
      "output_type": "stream",
      "text": [
       "W_padded:\n",
-      " [[0.         0.         0.33894724 0.43224904 1.19581591 0.72112662 0.         0.        ]\n",
+      " [[0.         0.         0.33760624 0.43059648 1.19108918 0.71832606 0.         0.        ]\n",
       " [0.         0.         1.         1.         1.         1.         0.         0.        ]\n",
-      " [0.33894724 1.         0.05039505 0.02125517 0.02995673 0.04690396 0.         0.        ]\n",
-      " [0.43224904 1.         0.02125517 0.07921499 0.06451395 0.05680673 0.         0.        ]\n",
-      " [1.19581591 1.         0.02995673 0.06451395 0.2760517  0.07139746 0.         0.        ]\n",
-      " [0.72112662 1.         0.04690396 0.05680673 0.07139746 0.40513769 0.         0.        ]\n",
+      " [0.33760624 1.         0.05020389 0.02116691 0.02981871 0.04674084 0.         0.        ]\n",
+      " [0.43059648 1.         0.02116691 0.07889178 0.06422647 0.05653149 0.         0.        ]\n",
+      " [1.19108918 1.         0.02981871 0.06422647 0.27498126 0.07109579 0.         0.        ]\n",
+      " [0.71832606 1.         0.04674084 0.05653149 0.07109579 0.40357553 0.         0.        ]\n",
       " [0.         0.         0.         0.         0.         0.         1.         0.        ]\n",
       " [0.         0.         0.         0.         0.         0.         0.         1.        ]]\n",
       "b_padded:\n",
@@ -867,7 +2033,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "26",
+   "id": "28",
    "metadata": {},
    "source": [
     "### 3) Hermitian Matrix\n",
@@ -894,32 +2060,26 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "id": "27",
+   "id": "29",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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       "text/plain": [
        "<Figure size 1600x200 with 1 Axes>"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     }
@@ -950,7 +2110,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28",
+   "id": "30",
    "metadata": {},
    "source": [
     "### 4) Rescaled Matrix\n",
@@ -976,19 +2136,16 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "id": "29",
+   "id": "31",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 480x480 with 1 Axes>"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     }
@@ -1036,11 +2193,11 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30",
+   "id": "32",
    "metadata": {},
    "source": [
     "## Defining HHL Algorithm for the Quantum Solution\n",
-    "This section is based on Classiq HHL in the user guide, [here](https://github.com/Classiq/classiq-library/blob/main/tutorials/technology_demonstrations/hhl/hhl_example.ipynb) and [here](https://github.com/Classiq/classiq-library/blob/main/algorithms/quantum_linear_solvers/hhl/hhl.ipynb).\n",
+    "This section is based on Classiq HHL in the user guide, [here](https://github.com/Classiq/classiq-library/blob/main/tutorials/technology_demonstrations/hhl/hhl_example.ipynb) and [here](https://github.com/Classiq/classiq-library/blob/main/algorithms/quantum_differential_equations_solvers/hhl_lanchester/hhl_lanchester.ipynb).\n",
     "\n",
     "Note the rescaling in `simple_eig_inv` based on the matrix rescaling."
    ]
@@ -1048,7 +2205,7 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "31",
+   "id": "33",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1074,7 +2231,7 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "32",
+   "id": "34",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1088,14 +2245,14 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "id": "33",
+   "id": "35",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Quantum program link: https://platform.classiq.io/circuit/36pWFrJtgOWTmLMPpdlgzZkX3lL\n"
+      "Quantum program link: https://platform.classiq.io/circuit/38EbCHhb4OwIspsNgY9Dv5T54JR\n"
      ]
     }
    ],
@@ -1149,7 +2306,7 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "id": "34",
+   "id": "36",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1160,7 +2317,7 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "id": "35",
+   "id": "37",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1176,16 +2333,16 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "id": "36",
+   "id": "38",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[ 5.04843302e-01-4.24758417e-01j -5.39469162e-01+4.53891467e-01j  3.96816826e+00-3.33868521e+00j -4.80876510e+00+4.04593552e+00j  2.51851595e-01-2.11899582e-01j  5.87187622e-01-4.94040197e-01j\n",
-      "  6.69687142e-14-8.07471979e-14j  6.66633726e-14-1.62478643e-14j -3.00024517e-14-3.06827250e-14j  5.74857250e-14+5.17999268e-14j -6.07267088e-14-1.05229949e-13j  2.98997704e-14-1.23220749e-14j\n",
-      " -6.52341354e-14+1.61845207e-13j  8.24096012e-14-7.75399996e-14j -5.97477789e-15-1.03473592e-14j  3.89251848e-14-2.82226281e-15j]\n"
+      "[-2.89639576e-01+5.95742356e-01j  3.08335503e-01-6.34196894e-01j -2.27110910e+00+4.67130877e+00j  2.75233940e+00-5.66112264e+00j -1.44012178e-01+2.96210054e-01j -3.36318572e-01+6.91753598e-01j\n",
+      "  2.39148259e-14-7.26657302e-14j -7.64513494e-15-3.53183012e-14j  3.90607598e-14-2.45511623e-13j  6.08553768e-15+1.83911091e-13j -6.16524881e-14+1.44844906e-13j  5.18031970e-14-1.22156005e-13j\n",
+      "  3.10460540e-14+8.93174264e-14j -2.39948943e-14-1.53061828e-13j  2.33085233e-14+1.36384476e-14j -2.52635402e-14+1.00776109e-14j]\n"
      ]
     }
    ],
@@ -1197,14 +2354,14 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "id": "37",
+   "id": "39",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "rel error: 0.07994134845079175\n"
+      "rel error: 0.08021847118398923\n"
      ]
     }
    ],
@@ -1228,15 +2385,15 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "id": "38",
+   "id": "40",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "x-HHL [-1.27111788  1.35830048 -9.99123808 12.10773179 -0.63412363 -1.47844823]\n",
-      "x-classical [ -0.66823233   0.65447749 -10.32197741  12.04823131  -0.9782884   -0.7479655 ]\n"
+      "x-HHL [ -1.27904651   1.36160761 -10.02920324  12.15431315  -0.63595686  -1.48518066]\n",
+      "x-classical [ -0.67035649   0.65436901 -10.36202934  12.09472133  -0.98362358  -0.74906842]\n"
      ]
     }
    ],
@@ -1248,7 +2405,7 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "id": "39",
+   "id": "41",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1259,7 +2416,7 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "id": "40",
+   "id": "42",
    "metadata": {},
    "outputs": [
     {
@@ -1274,14 +2431,11 @@
     },
     {
      "data": {
-      "image/png": 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AsIYeWlQR1qRHBQAolh4VAKh6iYzJLkFn9KgAAMUSVACAYrn1A1DkatlAokcFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFjqqABA1SxC2Sk9KgBAsQQVAKBYggoAUCxBBQAolqACABRLUAEAiiWoAADFElQAgGIJKgBAsQQVAKBYggoAUCxBBQAolqACABRLUAEAiiWoAADFElQAgGIJKgBAsQQVAKBYggoAUCxBBQAolqACABRLUAEAiiWoAADFElQAgGIJKgBAsQQVAKBYggoAUCxBBQAolqACABRLUAEAiiWoAADFElQAgGIJKgBAsQQVAKBYggoAUCxBBQAolqACABRLUAEAiiWoAADFElQAgGIJKgBAsQQVAKBYggoAUCxBBQAolqACABRLUAEAiiWoAADFElQAgGJVGlRGjRoVDQ0N7bYrr7yyyiYBAAXpU3UDLr300vj0pz/duj9gwIBK2wMAlKPyoJKCybBhw6puBgBQoMrHqKRbPZtvvnnsvvvucc0118TKlSvf8PnLly+PpqamdhsAUJ8q7VE5++yzY4899ojBgwfHnDlzYtKkSbF48eK47rrrOv2ZqVOnxpQpU9ZrOwGAajQ0Nzc3d+UvnDhxYlx11VVv+Jxf//rXsdNOO611fPr06XH66afHsmXLom/fvp32qKStRepRGTlyZDQ2NsbAgQNjfRs1cWZUZUG/Eyt77ZjcWN1rA1Dz0vv3oEGD3vT9u8t7VM4777w49dRT3/A5o0eP7vD42LFj862fBQsWxDve8Y4On5MCTGchBgCoL10eVIYMGZK3t+KJJ56IXr16xZZbbtnVzQIAalBlY1Tmzp0bjz76aBx00EF55k/aHz9+fJx88smx2WabVdUsAKAglQWVdPtmxowZMXny5DzmZLvttstBZcKECVU1CQAoTGVBJc32eeSRR6p6eQCgBlReRwUAoDOCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAnhdUPv/5z8e+++4b/fv3j0033bTD5zz77LNx1FFH5edsueWWccEFF8TKlSu7q0kAQI3p012/eMWKFXHsscfGPvvsE7fffvtaj69atSqHlGHDhsWcOXNi8eLFccopp8QGG2wQV1xxRXc1CwCoId3WozJlypQYP3587LLLLh0+/sADD8STTz4Z99xzT4wZMyaOOOKIuOyyy2LatGk55AAAVDZGZe7cuTnEDB06tPXYYYcdFk1NTfGrX/2q059bvnx5fk7bDQCoT9126+fNLFmypF1ISVr202OdmTp1au6tISImNzoNANS1v6lHZeLEidHQ0PCG21NPPdV9rY2ISZMmRWNjY+u2cOHCbn09AKBGelTOO++8OPXUU9/wOaNHj16n35UG0T722GPtjj3//POtj3Wmb9++eQMA6t/fFFSGDBmSt66QZgOlKcwvvPBCnpqcfO9734uBAwfGzjvv3CWvAQDUtm4bo5JqpLz00kv5a5qK/MQTT+Tj22+/fWyyySZx6KGH5kDy8Y9/PK6++uo8LuVzn/tc/NM//ZMeEwAga2hubm6ObpBuEd11111rHX/ooYfiwAMPzN///ve/jzPOOCN+8IMfxMYbbxzjxo2LK6+8Mvr0Wff8lGb9DBo0KI9XSb0xAED51vX9u9uCyvoiqABA/b5/W+sHACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFACiWoAIAFEtQAQCKJagAAMUSVACAYgkqAECx+kSNa25ubl0uGgCoDS3v2y3v43UbVF5++eX8deTIkVU3BQB4C+/jgwYN6vTxhuY3izKFW716dSxatCgGDBgQDQ0N0ZOSaApnCxcujIEDB1bdHLqZ692zuN49S0+93s3NzTmkDB8+PHr16lW/PSrpP27EiBHRU6U/6p70h93Tud49i+vds/TE6z3oDXpSWhhMCwAUS1ABAIolqNSovn37xiWXXJK/Uv9c757F9e5ZXO83VvODaQGA+qVHBQAolqACABRLUAEAiiWoAADFElQAgGIJKlBDli5dGl/+8perbgbAemN6cg1KayO0nVWelhHYZJNNKm0T68fPf/7z2GOPPWLVqlVOOdAj6FGpAU888UQceeSRrftpAafNNtusddt0003jpz/9aaVtBN6eP/3pT63fp8XpLr744rjgggviRz/6kVNbJ9KHyt69e7/h1qdPzS/B1+WckRrwr//6r7H//vu3O/alL30ptt5669yzMn369LjxxhvzMaC2/PKXv4wPfvCDOZzssMMOMWPGjDj88MPjlVdeyW9s119/ffzXf/1XHH300VU3lbfpvvvu6/SxuXPn5n/HV69e7Tyvwa2fGvDOd74zj0vYfffd8/6AAQPyLYDRo0fn/UcffTSOO+64+P3vf19xS+lubv3UnyOOOCJ/ip44cWL+sPGtb30rDjvssLjtttvy42eddVbMmzcvHnnkkaqbSjf4zW9+k6/9N7/5zTjppJPi0ksvjW233da5bkOPSg1IAWTIkCGt++kPeYsttmjd32qrreL555+vqHV0pfSJ6o384Q9/cMLrTLpt+/3vfz923XXX2G233eKLX/xifPazn829KS1B5b3vfW/VzaSLLVq0KK/Xdtddd+Vgmm7xv/vd73aeOyCo1IB+/frlsDJixIi8P378+HaPpy7j/v37V9Q6ulLq5n8z22yzjZNeR1566aUYNmxY/j4Nit94443z2LMW6fs0gJ760NjYGFdccUW+pT9mzJiYPXt2HHDAAVU3q2iCSg1It3zuv//+2G+//Tp8/L//+79bbwtR25555pmqm0AFGhoa3nCf+nD11VfHVVddlYPpf/7nf8aHP/zhqptUE4xRqQFf+9rX4mMf+1jccMMNccYZZ7R2CacpqjfffHOcd955eQzLRz/60aqbShdIA6Tnz58fK1asiHe84x1mAdS59P9zGqfSt2/fvJ/GKhx88MG5ZyVZvnx5zJo1y5T0OrnWG220URxyyCF5hk9n0odP/kpQqRH//M//HNdcc00eSNsyiPZ3v/tdLFu2LCZMmJAfoz56VD70oQ/Fk08+mffTzK4UVPfaa6+qm0Y3OfXUU9epB+WOO+5wDWqca/3WCCo1JI36T92FTz/9dN5PUxlPOOEEA+3qSOoV+9WvfpVraKSxSddee228/vrredYH9Sl94Bg1alRrTynQnqACBUn3rlPNjJa6OYsXL86DqJuamlpvBVBf0i2AdJ233HLLvH/88cfn2V9Dhw6tuml0sVS8b+zYsbHhhht2+Hj6UPKVr3wlTjnlFOe+DUGlxqYxph6V//u//8v7afxC6lHZc889q24aXSR9qk5vWm3fpNJMkFQUbLvttnOe6/SaL1mypDWorFknifq61nvvvXcu/JbKSqwplZlIlcctkdGevsYaceGFF+Yk/u///u/x3HPP5S3VW0jH0vgV6kMaq5DGHaUelJYt/eOWpqe2PQbUpldffTV/uEyFOlk3gkoNSAWB0pz71B2c1gNJhYHSluovpLob6fjdd99ddTPpohk/O+64Y7u1nFJwSdPPW9Z1altjg/oIp6Yn9wzpOs+cOTOv3XbggQcaIL2O1FGpAdOmTcsFgs4888x2xzfYYIM4++yzY+XKlXHTTTe5r1kHHnrooaqbQAXhNM0GaZmenMYpfOYzn1lrTJIpq/VxrdN1TssjpA8f6TqnD53pA6fB1J0zRqUGpH+w0hiFzu5Zp1kDu+yyS17EjPqXetIGDx5cdTPoIp/4xCfW6XmmJ9ffeKSHH344jj322Pzv91e/+tVcO8kYlbXpUamRWQHpD7gzf/nLX96weBD14YEHHshjlFJBsNdee63q5tBFBJCe6+/+7u/yJIljjjkm10q65ZZbqm5SkYxRqQF77LFH/Md//Eenj6cVV9NzqD9pjae0cFmqs5E+eaVPZMYjQf1Ia3f95Cc/yRMj/v7v/77q5hRJj0oNOP/88+Poo4/OpbRTufyWqaupC/ELX/hCLq2fprtRH1LvWRqPkHpP0j9gqdx2muX1+OOP5y5ioDa9733v67CGSirumD6MpkUK9aqszRiVGpFm/aTAkgbODho0qHUVzj59+uSFrs4555yqm0gXOOuss3KtnFR1+OSTT85rPG2++eZ54HSqrbHzzjs7z0CPIqjUkPSpOg24aimhn6axfuQjH4mRI0dW3TS6SAqeqS7OxIkTc+GvFoIK1L5nn312nW8H8VeCChQk9aZMnz495s6dG0cddVR8/OMfzyvrpq5hPSpQ29pOekhTlZO2NXTSsbSvMm17gkoNSb0pbUvopx6VE088MS9kR/2tonznnXfmLVWyTFOS7733XtcaarzHNK3dlermfPCDH8z7Hdltt93We9tKJqjUgNWrV+c1fVJQSeFkp512ysd//etfx/z58/NskBRg1mWpeGpL+oSVpiXffvvt8Y1vfCO22GKL+Id/+IdcjRioLWkCRKo0nqakL126NI9D+9SnPhXvfOc7q25a0QSVGpCqFl5++eX5D3zN6WvpzSsVjLrooovi3HPPrayNdL/Uq5KmoqeZX2lQNVC7fvzjH+fAkj6ApkHyKbCkTYXatQkqNWDXXXfNIeSTn/xkh4+nT9v/8i//Er/4xS/We9tYP9KihKnXLE1ZnjdvnnvYUCfSismpx/yHP/xhvPjii6pOd0DBtxqQZvmkWhqdSY+1zASivqQS2+PGjctLwl977bVx8MEHxyOPPFJ1s4C3ac6cOfGP//iP+XZ+Wng0remWFh1lbQq+1YCNNtoo38/sbMpaU1NTnhVC/dzHToNoU09ZurbHHXdcLvZ3//33q6MCNWzx4sW5snS65fPnP/85TjrppFzU8d3vfnfVTSuaWz81IE1TTSGls4qFaQXOND//29/+9npvG10rzQRIvSjpmqd/xA4//PA8pVEdFah96f/jrbfeOveSfuhDH8r7nd3u568ElRrpIjzwwANzGf1UnTbN+kmzQdKsn1RC/+tf/3o89NBDsd9++1XdVN6mNF3x7LPPjjPOOCNXp20hqEDtaztQtmWWZks9lbbH1VFpz62fGrDvvvvmGhqnnXZafO1rX2s9nv7ABw8enAdZCin1MxMg3fJ5z3vek6cspoJvqYw+UB/1kdZl4Dzt6VGpIanw13e/+912JfQPPfTQ6N+/f9VNo4u98sorOZymKrWPPfZY/oR13XXX5ZlfbUvrA/Uzqy99SPnZz36mR2UNgkoNeO2112L27NmtNVQmTZqUB1e2vV1w6aWXGlBbp37zm9/kf8BSDZU0qPoDH/hArp8D1LY0Hi39v516yocPH56LOab12/baa6+qm1YUQaUG3HrrrTFz5sz45je/mffTJ+p3vetdeTZQ8tRTT8WFF14Y48ePr7ildKfUq5L+BlIvi6AC9TOrL/0bby2vzgkqNeCAAw7IQSTNCGkJKumPevTo0Xn/nnvuyXPw00J2AJTJrL63RsG3GpDW89lll11a91PNlLajx/fee+948sknK2odAOviO9/5Ti6TP2XKlFyCoO1qynROUKkBaVxC2zEpqczyqFGj2i1a2PZxAMqc1ZcGzqZZfWPHjo2bbrop/vjHP1bdrOIJKjUgLQv+v//7v50+ntb4Sc8BoFzvfe9747bbbssVak8//fSYMWNGHkSbPmx+73vfMzW5E8ao1IBzzjknHnzwwbwY3Zql8tOMoD333DOv95MWJgSgdpjV9+YElRpZXXPMmDGx4YYbxplnnpnrp7T8gaeuw5UrV8bjjz8eQ4cOrbqpALwFZvV1TlCpoYqGqax66h5sKbmcSi2nmho333xz6wwgAKgngkqNeemll/IsoGT77bfPJfQBoF4JKgBAscz6AQCKJagAAMUSVACAYgkqAECxBBUAoFiCCgBQLEEFAIhS/T/cEuDL2RKgPAAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     }
@@ -1301,7 +2455,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "41",
+   "id": "43",
    "metadata": {},
    "source": [
     "The next step is to calculate the \"total portfolio value for each day.\"\n",
@@ -1330,7 +2484,7 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "42",
+   "id": "44",
    "metadata": {},
    "outputs": [
     {
@@ -1366,28 +2520,28 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>2024-01-02</th>\n",
-       "      <td>-324.759439</td>\n",
-       "      <td>-419.912518</td>\n",
+       "      <td>-325.764298</td>\n",
+       "      <td>-421.744540</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-01-03</th>\n",
-       "      <td>-320.093201</td>\n",
-       "      <td>-408.711715</td>\n",
+       "      <td>-320.943657</td>\n",
+       "      <td>-410.339168</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-01-04</th>\n",
-       "      <td>-343.184525</td>\n",
-       "      <td>-432.274351</td>\n",
+       "      <td>-344.106605</td>\n",
+       "      <td>-433.974406</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-01-05</th>\n",
-       "      <td>-328.392916</td>\n",
-       "      <td>-416.982638</td>\n",
+       "      <td>-329.292530</td>\n",
+       "      <td>-418.664555</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2024-01-08</th>\n",
-       "      <td>-331.973892</td>\n",
-       "      <td>-419.975494</td>\n",
+       "      <td>-332.896116</td>\n",
+       "      <td>-421.666555</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -1396,11 +2550,11 @@
       "text/plain": [
        "                 exact         HHL\n",
        "Date                              \n",
-       "2024-01-02 -324.759439 -419.912518\n",
-       "2024-01-03 -320.093201 -408.711715\n",
-       "2024-01-04 -343.184525 -432.274351\n",
-       "2024-01-05 -328.392916 -416.982638\n",
-       "2024-01-08 -331.973892 -419.975494"
+       "2024-01-02 -325.764298 -421.744540\n",
+       "2024-01-03 -320.943657 -410.339168\n",
+       "2024-01-04 -344.106605 -433.974406\n",
+       "2024-01-05 -329.292530 -418.664555\n",
+       "2024-01-08 -332.896116 -421.666555"
       ]
      },
      "execution_count": 26,
@@ -1417,7 +2571,7 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "id": "43",
+   "id": "45",
    "metadata": {},
    "outputs": [
     {
@@ -1426,11 +2580,11 @@
      "text": [
       "               exact       HHL\n",
       "Date                          \n",
-      "2024-12-23  1.139696  1.284024\n",
-      "2024-12-24  1.158997  1.350748\n",
-      "2024-12-26  1.239495  1.398706\n",
-      "2024-12-27  1.192851  1.329092\n",
-      "2024-12-30  1.145109  1.269991\n"
+      "2024-12-23  1.139395  1.284214\n",
+      "2024-12-24  1.157931  1.350494\n",
+      "2024-12-26  1.238676  1.398530\n",
+      "2024-12-27  1.191926  1.328773\n",
+      "2024-12-30  1.144376  1.269782\n"
      ]
     }
    ],
@@ -1444,7 +2598,7 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "id": "44",
+   "id": "46",
    "metadata": {},
    "outputs": [
     {
@@ -1459,14 +2613,11 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 900x600 with 1 Axes>"
       ]
      },
-     "jetTransient": {
-      "display_id": null
-     },
      "metadata": {},
      "output_type": "display_data"
     }
@@ -1477,10 +2628,10 @@
   },
   {
    "cell_type": "markdown",
-   "id": "45",
+   "id": "47",
    "metadata": {},
    "source": [
-    "## Reference \n",
+    "## Reference\n",
     "\n",
     "- [1] P. Rebentrost and S. Lloyd, “Quantum computational finance: quantum algorithm for portfolio optimization“, https://arxiv.org/abs/1811.03975\n",
     "- [2] 7-3. Portfolio optimization using HHL algorithm: https://dojo.qulacs.org/en/latest/notebooks/7.3_application_of_HHL_algorithm.html"
@@ -1489,7 +2640,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "classiq-venv",
    "language": "python",
    "name": "python3"
   },
@@ -1503,7 +2654,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,
diff --git a/requirements_tests.txt b/requirements_tests.txt
index 53bbe0680..787d6aa19 100644
--- a/requirements_tests.txt
+++ b/requirements_tests.txt
@@ -21,4 +21,3 @@ openfermionpyscf
 networkx
 
 pandas_datareader
-yfinance
diff --git a/tests/resources/timeouts.yaml b/tests/resources/timeouts.yaml
index b73ef06df..7978e513c 100644
--- a/tests/resources/timeouts.yaml
+++ b/tests/resources/timeouts.yaml
@@ -4,6 +4,7 @@
 3sat_oracles.ipynb: 1800
 CRX.qmod: 10
 CX.qmod: 10
+HHL_portfolio.ipynb: 1799
 ND_Laplacian_BE.ipynb: 300
 ND_Periodic_Laplacian_BE.qmod: 10
 Option_Pricing_Workshop.ipynb: 400
@@ -62,6 +63,7 @@ cheb_lcu_solver_banded_be.qmod: 400
 cheb_lcu_solver_pauli_be.qmod: 400
 chebyshev_approximation.ipynb: 20
 checkerboard_BE_N8.qmod: 200
+classical_shadows.ipynb: 600
 classiq_chemistry_application.ipynb: 80
 classiq_discrete_quantum_walk.ipynb: 300
 classiq_iQuHack_2025_final.ipynb: 200
@@ -342,7 +344,7 @@ resiliency_planning.qmod: 1799
 robust_posture_optimization.ipynb: 1799
 second_quantized_hamiltonian.ipynb: 44
 second_quantized_hamiltonian.qmod: 40
-select_structures_BE.ipynb: 20
+select_structures_BE.ipynb: 600
 set_cover.ipynb: 1440
 set_cover.qmod: 1216
 set_partition.ipynb: 350