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quant-ph2024
Tensor networks based quantum optimization algorithm
V. Akshay, Ar. Melnikov, A. Termanova +1
In optimization, one of the well-known classical algorithms is power iterations. Simply stated, the algorithm recovers the dominant eigenvector of some diagonalizable matrix. Since…
quant-ph2021★ 49 cited
Training Saturation in Layerwise Quantum Approximate Optimisation
E. Campos, D. Rabinovich, V. Akshay +1
Quantum Approximate Optimisation (QAOA) is the most studied gate based variational quantum algorithm today. We train QAOA one layer at a time to maximize overlap with an qubit…