Abstracts
Poster Abstracts | Talk Abstracts
Shot frugal optimization for variational quantum-classical algorithms
Presenting Author: Andrew Arrasmith, Los Alamos National Laboratory
Contributing Author(s): Jonas Kübler, Lukasz Cincio, Patrick Coles
Variational hybrid quantum-classical algorithms (VHQCAs) seem likely to be the first useful algorithms in the era of near-term quantum computing. There is however a justified concern that the number of measurements needed for these algorithms to converge might become prohibitive when scaling up to non-trivial problem sizes. We address this issue by adapting results from classical optimization to the problem of shot-frugal optimization of VHQCAs. Specifically, we present new techniques and compare them with standard methods to demonstrate the potential for improvement both with noiseless and noisy quantum devices
Read this article online: https://arxiv.org/pdf/1909.09083.pdf
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