A quantum EM algorithm for Gaussian mixture models is proposed, with a claimed exponential speedup over classical EM, based on a noisy δ-EM variant that is only numerically validated.
To this end, we exploit the quantum random access memory (QRAM) introduced in Refs
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Quantum Expectation-Maximization Algorithm
A quantum EM algorithm for Gaussian mixture models is proposed, with a claimed exponential speedup over classical EM, based on a noisy δ-EM variant that is only numerically validated.