Stochastischer Quantengradientenabstieg

Details

Veröffentlichungs-Nr.

EP4769243

Anmeldetag

31. Dezember 2024

Veröffentlichung

1. Juli 2026

Rechtsraum

EP

Abstract

A computer-implemented method for training a machine learning model (27) using a training dataset (28) having a set of distributional parameters θ is disclosed. The method comprises selecting (S205) stochastically a subset (28a) from the training dataset (28), calculating a gradient of the subset (28a) by encoding (S210) a cost function representative of the gradient into a quantum circuit, amplifying (S220) the amplitude of the quantum circuit, constructing a likelihood function (S230), and minimising the cost function in a variational quantum circuit to optimise the distributional parameters, extracting the optimised distributional parameters, and entering the optimised distributional parameters into the machine learning model (27).

Anmelder

Firma

Multiverse Computing S.L.

Land

🇪🇸 Spanien