Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles
Samuel A. Stein, Nathan Wiebe, James Ang, Ang Li · 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) · 2022
Due to considerable error rate and insufficient qubits in supporting full-scale quantum error correction, the Variational Quantum Algorithm (VQAs), which adopts a classical optimizer to train a parameterized quantum circuit, stands out as one of the most promising algorithms for Noisy Intermediate-Scale Quantum (NISQ) devices.