Improving Variational Quantum Algorithms performance through Weighted Quantum Ensembles

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Samuel Alexander Stein, Nathan Wiebe, James Andrew Ang, Ang Li

Published: 2022, Last Modified: 25 Jan 2026IPDPS Workshops 2022EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: 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.