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Update Quantum_Approximate_Optimization_Algorithm.ipynb (#114)
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zmohammad01 authored Aug 3, 2023
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"id": "8b423ad7",
"metadata": {},
"source": [
"# QUANTUM APPROXIMATE OPTIMIZATION ALGORITHM (QAOA)"
"# Quantum Approximate Optimization Algorithm (QAOA)"
]
},
{
"cell_type": "markdown",
"id": "12e108d5",
"metadata": {},
"source": [
"In this noteook, we show how to (approximately) solve binary combinatorial optimization problems, using the __Quantum Approximate Optimization Algorithm (QAOA)__.\n",
"In this notebook, we show how to (approximately) solve binary combinatorial optimization problems, using the __Quantum Approximate Optimization Algorithm (QAOA)__.\n",
"\n",
"The QAOA is a variational quantum algorithm that uses alternating layers of parameterized quantum gates to solve an optimization problem [1]. The parameters of each gate are tuned to minimize a cost function, similar to how machine learning parameters are tuned in stochastic gradient descent. \n",
"\n",
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