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Policy Gradient based Quantum Approximate Optimization Algorithm
[article]
2020
arXiv
pre-print
The quantum approximate optimization algorithm (QAOA), as a hybrid quantum/classical algorithm, has received much interest recently. QAOA can also be viewed as a variational ansatz for quantum control. However, its direct application to emergent quantum technology encounters additional physical constraints: (i) the states of the quantum system are not observable; (ii) obtaining the derivatives of the objective function can be computationally expensive or even inaccessible in experiments, and
arXiv:2002.01068v2
fatcat:uvkwnhqafbelfbbbkrofw7fgru