49 citations · 49 across the 1 of their papers we have counts for
3 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-ph2021
Parameter Concentration in Quantum Approximate Optimization
V. Akshay, D. Rabinovich, E. Campos +1
The quantum approximate optimization algorithm (QAOA) has become a cornerstone of contemporary quantum applications development. In QAOA, a quantum circuit is trained -- by repeate…
quant-ph2020
Abrupt Transitions in Variational Quantum Circuit Training
Ernesto Campos, Aly Nasrallah, Jacob Biamonte
Variational quantum algorithms dominate gate-based applications of modern quantum processors. The so called, {\it layer-wise trainability conjecture} appears in various works throu…