{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "be381754-3b46-4bfa-99fb-315dfbbbd7a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import QuantumCircuit, QuantumRegister\n",
    "from qiskit_ibm_runtime import QiskitRuntimeService\n",
    "service = QiskitRuntimeService.save_account(channel=\"ibm_quantum\", token=\"HIER IHR TOKEN EINSETZEN\", set_as_default=True, overwrite=True)\n",
    "from qiskit.providers.basic_provider import BasicSimulator\n",
    "backend = BasicSimulator()\n",
    "\n",
    "import random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9264f163-3b2f-4fef-a81b-93b392109aa5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Uf(qubits,f):\n",
    "    if (f[0]==0 and f[1]==0):\n",
    "        return qubits    \n",
    "    elif (f[0]==1 and f[1]==1):\n",
    "        qubits.x(1)\n",
    "        return qubits    \n",
    "    elif (f[0]==0 and f[1]==1):\n",
    "        qubits.cx(0,1)\n",
    "        return qubits    \n",
    "    elif (f[0]==1 and f[1]==0):   \n",
    "        qubits.x(0)\n",
    "        qubits.cx(0,1)\n",
    "        qubits.x(0)\n",
    "        return qubits    \n",
    "    return qubits"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f45cee2f-d25f-4128-85bd-c835f6abca57",
   "metadata": {},
   "outputs": [],
   "source": [
    "f=[random.randint(0,1) for _ in range(2)]\n",
    "#f=[1,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "414213c8-29b1-4c69-bb42-658fb1c251e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x172f3b103d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit = QuantumCircuit(2,1)\n",
    "circuit.x(1)\n",
    "circuit.barrier()\n",
    "circuit.h(0)\n",
    "circuit.h(1)\n",
    "circuit.barrier()\n",
    "Uf(circuit,f)\n",
    "circuit.barrier()\n",
    "circuit.h(0)\n",
    "circuit.measure(0,0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ed10901c-553f-4830-8c27-2767c90b9663",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'0': 1024}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "erg = backend.run(circuit, shots=1024).result()\n",
    "erg.get_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ecfb7724-6fdb-4571-8d4e-650b896dc5af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 1]\n"
     ]
    }
   ],
   "source": [
    "print(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8460862c-676c-4df1-8854-4fe56077ddc8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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i06XAAMYf9ADsiNOs3ZDX69WJugbTZfgkKtItl8tlugzb8Hq9ktVWDsLD6YEAYh4A0FGEuW7oRF2DYq5abboMn9R8eoeio8JMl2Ef9fVquHm+6Sp84n5tlRQRYboM22AeANBRnGYFAACwMMIcAACAhXGaFY4yZMgQffbZZ6bLgCGMP+gB2BErcwAAABZGmIOjHD16VHfddZeOHj1quhQYwPiDHoAdEebgKHV1dfryyy9VV1dnuhQYwPiDHoAdEeYAAAAsjDAHAABgYYQ5AAAACyPMwVGSkpL05JNPKikpyXQpMIDxBz0AO+I5c3CUXr16KSsry3QZMITxBz0AO2JlDo5SUVGh119/XRUVFaZLgQGMP+gB2BFhDo5SXl6upUuXqry83HQpMIDxBz0AO3JEmPN4PMrJydHgwYMVERGhiy66SNnZ2aqtrdXdd98tl8ulF1980XSZAAAAPrN9mMvPz1dmZqaWLl2qsrIyDRs2TKdPn9YLL7ygW265Rfv375ckjRw50myhXeTPD14h75679es5F7e7/eOV03Vy553KGNw7yJUhGLZ4vlGPd1/Ts4cPnHWfHu++pjm524JYFYKJOQCwP1uHOY/Ho1mzZqmsrEwLFixQaWmpdu/erbKyMi1evFgbN25UXl6eXC6Xhg8fbrrcLvHEXz7X3kPf69nfX6mUC6Nabfu32zI0cXSSHv/Lbu37iutHADtiDgDsz9Zh7sEHH1RxcbHuv/9+LVu2TLGxsS3bcnJyNGLECDU0NKh///7q2bOnwUq7zumGJs1/bKuiI8O08onxLT9P799Lf35glD7d842WvrLXYIXBFRUVpSuvvFJRUVHn3xm248TxZw5ozYk9APuzbZjbv3+/1q1bp/j4eC1atKjdfa644gpJ0ogRI1p+1hz+xowZo/DwcLlcrqDU25U+3/+dFq38QteNS9Vv5l6ikBCXVv/5Wrlc0vzHtqqpyWu6xKBJS0vT8uXLlZaWZroUGODU8WcO+IlTewD2ZtvnzK1du1ZNTU2aN2+eYmJi2t0nMjJSUusw99VXX+nNN9/U6NGj1aNHD+3YsSMo9Xa1P634XNdPTNOyBWM0ckgfXZnZVw8tzdXBI5WmSwuqxsZG1dXVKTIyUqGhoabLCZoTjY3y1NebLsM4p46/xBzQzMk9APuy7crcRx99JEmaNGnSWfcpLi6W1DrMXXvttSotLdX69es1ZcqUri0yiBoavJr/2FZFhIfqt7cM1bbdZXr+/3xpuqygO3TokCZPnqxDhw6ZLiWonircp+T/+/d2/3ESp46/xBzQzMk9APuy7crc0aNHJUn9+vVrd3tDQ0PLqtvPw1xISODz7ahRo1RWVtbh/ZsUJsU9FvA6KmtOqf5Uo3qEheq9bcfkDeCZlYvT0xWi04E7YAfdeOONPu3/zTffSJLef/997dq1q0PvueGGG3yuq7MiQ0JUMHJswI73r2kDNTf5ona3ZX26JSCfkZ6errqmpoAcyxe+9IA/4y+Z6YGumAe6cg6QrDEPWKkHEFg3/PrfFB3TU6VlpUpNTW3z2rTExETt3LnTr/faNszV1tZKkurq6trdvm7dOnk8HsXGxmrAgAFdWktZWZmOHz/e8Te4ekhxga/jP54arx5hoSo4XKHH7hmp1z4s0tfF1QE5dmlJieQ9FZBj+aJ5nDuquR/q6uo6/F6fxi5AokJDpZGBO97gmBj9S8KFgTtgO0pKSnSisbFLP6M9vvSAP+MvmemBrpgHunIOkKwxD1iqBxBQTT/OT02NjTp+/Hib11Zm2zCXmJioiooK7d69W2PHtl7hKC0t1cMPPyxJGj58eJff5JCYmOjT/k0KU2mAa3jg1mGaNCZZC1/Yqb9/fFS7183R354ar4l3vReQ4yclJxv5G3l0dLRP+zdP3pGRkR1+b0pKis91dVZkF6wQd7Xk5GQjK3O+9IA/4y+Z6YFAzwNdPQdI1pgHrNQDCKyQH6+RDAkNVUpKSpvXpvmaFX7OtmFuypQp2r9/vxYvXqypU6cqPT1dkpSXl6fbb79dHo9HUnAeFuzrsmntidOKuWp1wD5/cFpPLcoepc/2fqvFf9ujpiavnvj33VqUPVoP3DpMy18t6PRnHDp4UNFRYQGo1jd5eXk+7X/gwAGtXbtWWVlZGjJkSIfe8/zzz/tRWed4T55Uw83zg/65nXHw4EG5IiKC/rm+9IA/4y+Z6YFAzgPBmAMka8wDVuoBBNb//N//qaqaWiUlJqm4uLjNayuz3l//OygnJ0d9+vTRsWPHlJGRoczMTF188cUaM2aMBg4cqMmTJ0tqfb2cHblc0it/ulahIS7Nf2xLyyMIlvzHXuV9+a0WZY/SwNTY8xzFPgYPHqwPP/xQgwcPNl0KDHDi+DMHtObEHoD92TbMpaamatu2bZoxY4YiIiJ05MgRxcXF6aWXXtLGjRt18OBBSfYPcwvmZ2rcZRfqf/xltw4U/fQIgqYmr+7841a5Q0P0t6fGn+MI9uJ2u9W7d2+53bZdlMY5OHH8mQNac2IPwP5sG+YkaejQodqwYYOqq6tVXV2t3Nxc3XPPPaqtrdWRI0cUEhKiSy+91HSZXWbIgF7603+/XJ988Y3+16q2jyAoOPyDnvj33ZowKkkP3DrMQIXBV1xcrAULFlh+SR3+cdr4Mwe05bQegDM48q8m+/btk9frVXp6ertf6fLGG29IkgoKClq97t+/v0aNGhW8QjvpQFGlIkevOuc+z6zco2dW7glSRebV1NRo27Zt+s1vfmO6lKCYEN9Xp2bdfM59zrfdTpw2/swBbTmtB+AMjgxze/ee+R7Cs51ivemmm9p9PX/+fL3yyitdWhsAAIAvCHPt8Ab6SZoAAABdxNbXzJ3N+cIcAACAVThyZa75e1vhPAkJCcrOzlZCQoLpUmAA4w96AHbkyDAH5+rTp4/mzZtnugwYwviDHoAdOfI0K5yrqqpKmzZtUlVVlelSYADjD3oAdkSYg6OUlJRo4cKFKikpMV0KDGD8QQ/AjghzAAAAFkaYAwAAsDDCHAAAgIUR5uAo4eHhuuSSSxQeHm66FBjA+IMegB3xaBI4yoABA7RmzRrTZcAQxh/0AOyIlTkAAAALI8zBUQoLCzVu3DgVFhaaLgUGMP6gB2BHhDk4itfr1enTp+X1ek2XAgMYf9ADsCOumeuGoiLdqvn0DtNl+CQqklYKqPBwuV9bZboK33BBeUAxDwDoKP7kdUMul0vRUWGmy4BBLpdLiogwXQYMYh4A0FGcZgUAALAwVubgKP3799fatWuVkpJiuhQYwPiDHoAdEebgKBERERo0aJDpMmAI4w96AHbEaVY4SmlpqZ5++mmVlpaaLgUGMP6gB2BHhDk4SmVlpdavX6/KykrTpcAAxh/0AOyIMAcAAGBhhDkAAAALI8wBAABYGHezwtJGjx7t0/6pqal6/PHHNWXKFCUlJXVRVQgmX3qA8bcnegBOR5iDoyQlJemJJ54wXQYMYfxBD8COOM0KAABgYYQ5AAAACyPMAQAAWBhhDgAAwMIIcwAAABZGmAMAALAwwhwAAICFEeYAAAAsjDAHAABgYYQ5AAAACyPMAQAAWBhhDgAAwMIIc93E1q1bNXv2bPXr108ul0tPP/206ZIAAMA5vPfeexo5cqTCw8PVv39/Pfvss0bqIMx1EzU1NRo2bJiWLFmixMRE0+UAAIBz2Llzp2bPnq2srCzl5+friSee0MKFC/XXv/416LW4g/6JaNf06dM1ffp0SdIjjzxiuBoAAHAuzz77rEaPHq1FixZJkoYOHap9+/bpmWee0b333hvUWghzAADANmrrTup4mafNzxsaG1v+fbCouM3rn0u5MF7RURHn/JwdO3bo7rvvbvWzadOmadmyZSouLlZqampnfg2fEOYAAIBthPcI0wdbclVS/l2720/UndTfXnvvrK8TE+J0/x03nPdzSktL21wW1fy6tLQ0qGGOa+YAAIBtuENDdcuMSXKHhvr83tDQEP1q1mS53b6/1yTCHAAAsJULE+J03YTRPr/vuvGjlZgQ16F9k5KSVFZW1upn5eXlLduCiTAHAABsZ9yoTA1MS+7w/gMuStI1ozM7fvxx4/Thhx+2+tkHH3ygfv36BfUUq0SY6zZqamqUn5+v/Px8nTp1SmVlZcrPz9dXX31lujQAACwnxOXSzTMmKrxH2Hn3De8RpptmTFRISMdj0e9+9zt99tlnevTRR3XgwAGtWrVKy5cv1x/+8IfOlO0Xl9fr9Qb9U9HG5s2bNWnSpDY/nzBhgjZv3hz8ggAAsIHP9x3Sug0fn3OfG6dP0KjMS3w+9saNG7Vw4UIdOHBAiYmJys7O1kMPPeRvqX4jzFlM0bFSpSYmKCyMG5EBADgfr9erV/++SXsLi9rdnpHeX7fNmSqXyxXkygKH06wWUl1zQitfe09LVvyXKqtqTJcDAEC353K5NOe68YqNiWqzLSY6UjdcN97SQU4izFnKltwv1NDQqN49Y9UzNtp0OQAAWEJ0ZIRunHZtm5/PnXatYqIiDVQUWIS5n2lsbNSaNWv0i1/8QgkJCQoPD1daWpqmTZuml19+WY0/Pi3ahOqaE/o0v0CSNOWaKyz/twgAAILpkkFpuuqyYS2vx4wYoqGD+xmsKHC4Zu5HVVVVmjNnjj7++MxFksnJyUpJSVFJSYlKSkrk9XpVUVGhCy64wEh9G/7fJ9q+c6/Ski/UfbddT5gDAMBHp06d1guvvKUmb5Oyf31jh+50tQLC3I9uuukmvfHGG0pNTdXq1atb3VlaXl6ulStXKjs7W9HRvp/eXL7qLVXX1Pldm9frVXXtCUlSVGSEX0+1BgAAP31Ha3f7f2lsTKQemP9Lv97LLZGSdu3apTfeeENut1vvv/++Lr300lbbL7zwQi1cuNDv41fX1KmqprazZUo68x1yAAAAzQhzkt555x1J0owZM9oEuUCIjfH/4kpW5QAAsL/OZAXCnKSCgjM3FowdO7ZLju/vsqnEtXIAAODcCHM6c/ODJPXq1atLju/vNXM/X5XzVFRq0V9eDXRpAACgG+CauU7q2bOnJKmysrJLjh+Ia+a4Vg4AALSHMCcpIyNDb731lj755JMuOb4/58G5Vg4AAOfozDVzPJpE0ueff67LL79cYWFhys/P17Bhw87/pi7GtXIAAKAj+AYISZdddpluvvlmnT59WllZWdqyZUur7eXl5Vq0aJFqawPzeJHz4dseAABAR7Ey96OqqirNnj1bmzdvliSlpKQoOTlZpaWlOn78eFC/AYJVOQAA0FGszP2oZ8+e2rRpk1auXKmJEyfqxIkT+uKLLxQSEqLrrrtOK1euVGxsbFBqiYmOVER4D1blAADAebEy102drD+l8B5hhDkAAHBOhDkAAAAL4zQrAACAhRHmAAAALIwwBwAAYGGEOQAAAAsjzAEAAFgYYQ4AAMDCCHMAAAAWRpgDAACwMMIcAACAhRHmAAAALIwwBwAAYGGEOQAAAAsjzAEAAFgYYQ4AAMDCCHMAAAAWRpgDAACwMMIcAACAhRHmAAAALIwwBwAAYGGEOQAAAAsjzAEAAFgYYQ4AAMDCCHMAAAAWRpgDAACwMMIcAACAhRHmAAAALIwwBwAAYGGEOQAAAAsjzAEAAFgYYQ4AAMDCCHMAAAAWRpgDAACwMMIcAACAhRHmAAAALIwwBwAAYGGEOQAAAAsjzAEAAFgYYQ4AAMDCCHMAAAAW9v8BSoKBe8qyWwMAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 788.961x284.278 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "circuit.draw('mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a83a0bfa-6c5a-432c-a8e4-6dc02a637942",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}