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Introductory Tutorial for SPSA and the Quantum Approximation Optimization Algorithm
Published 3 Jun 2021 in quant-ph | (2106.01578v1)
Abstract: This short tutorial provides an introduction to the Quantum Approximation Optimization Algorithm (QAOA). Specifically, how to use QAOA with the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm to solve the Max-Cut problem. All steps of the algorithm are explicitly shown and no theory or complex mathematics are used. The focus is entirely on setting up a practical implementation. Fully functional examples in both R and python (using Qiskit) are provided, both using roughly 100 lines of code.
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