Researchers Demonstrate Scalable Quantum Neural Network Training on Quantum Hardware

Insider Brief A team of researchers has developed a quantum neural network training framework that reduces the cost of calculating gradients during training, one of the most significant obstacles in quantum machine learning. According to the study, posted on the preprint server arXiv, the approach lowers the number of circuit evaluations required for each optimization […]

Source: The Quantum Insider — read the full report at the original publisher.

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