49 citations · 70 across the 2 of their papers we have counts for
2 papers
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…
quant-ph2018★ 21 cited
Quantum Machine Learning Tensor Network States
Andrey Kardashin, Alexey Uvarov, Jacob Biamonte
Tensor network algorithms seek to minimize correlations to compress the classical data representing quantum states. Tensor network algorithms and similar tools---called tensor netw…