State Recognization of qubits in Two-Dimensional Quantum Dots Arrays with Machine learning

Application of quantum dot is not limited to a one-dimensional array. For the purpose of quantum computation, we need to deal with a two-dimensional array of quantum dots. The technical difficulty of large-scale and higher dimensional arrays of quantum dots lies a the grow of parameter space substantially with the number of qubits. fortunately, we are able to use machine learning techniques to recognize the pattern of dots and find the tune parameters more efficiently