Efficient Measure for the Expressivity of Variational Quantum Algorithms
Efficient Measure for the Expressivity of Variational Quantum Algorithms
The superiority of variational quantum algorithms (VQAs) such as quantum neural networks (QNNs) and variational quantum eigensolvers (VQEs) heavily depends on the expressivity of the employed Ansätze. Namely, a simple Ansatz is insufficient to capture the optimal solution, while an intricate Ansatz leads to the hardness of trainability. Despite its …