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Machine learning method generates circuit synthesis for quantum computing

Researchers from the University of Innsbruck have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation.

The study, recently published in Nature Machine Intelligence, marks a significant step forward in realizing the full extent of .

Generative models like diffusion models are one of the most important recent developments in (ML), with models such as Stable Diffusion and DALL·E revolutionizing the field of image generation. These models are able to produce high quality images based on text description.

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