Basic QRNG Implementation

Quantum_Random_Number.ipynb

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   "source": [
    "# Quantum Random Number Generator"
   ]
  },
  {
   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "## Imports"
   ]
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   "id": "8b59b39c",
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   "source": [
    "from qiskit import Aer, execute, QuantumCircuit\n",
    "from random import random, randint"
   ]
  },
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   "source": [
    "## Helper Functions"
   ]
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   "id": "4a372a5b",
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   "source": [
    "def execute_qc(qc):\n",
    "    backend_sim = Aer.get_backend('qasm_simulator')\n",
    "    sim = execute(qc, backend_sim, shots=1)\n",
    "    sim_result = sim.result()\n",
    "    counts = sim_result.get_counts(qc)\n",
    "    return int(list(counts.keys())[0].split(' ')[0], 2)\n",
    "\n",
    "def qrng(num_qubits):\n",
    "    qc = QuantumCircuit(num_qubits, num_qubits)\n",
    "    qc.h(range(num_qubits))\n",
    "    qc.measure_all()\n",
    "    return execute_qc(qc)\n",
    "\n",
    "def qrandom():\n",
    "    num_qubits = 10\n",
    "    qrn = qrng(num_qubits)\n",
    "    return qrn / int('1' * num_qubits, 2)\n",
    "\n",
    "def qrandint(a, b):\n",
    "    _min = 0\n",
    "    _max = b - a\n",
    "    num_qubits = len(bin(_max)[2:])\n",
    "    qrn = _max + 1\n",
    "    while qrn > _max:\n",
    "        qrn = qrng(num_qubits)\n",
    "    return a + qrn"
   ]
  },
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   "cell_type": "markdown",
   "id": "82c6557c",
   "metadata": {},
   "source": [
    "## Random Number Generation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eb9171c8",
   "metadata": {},
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       "1"
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     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "randint(1,10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "af8e5c83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qrandint(1,10)"
   ]
  }
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