A co-design framework of neural networks and quantum circuits towards quantum advantage

The advantages coming from involving quantum systems in machine learning are still not fully clear. Here, the authors propose a software/hardware co-design framework towards quantum-friendly neural networks showing quantum advantage, representing data as either random variables or numbers in unitary...

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Autores principales: Weiwen Jiang, Jinjun Xiong, Yiyu Shi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Q
Acceso en línea:https://doaj.org/article/a1cce8a952474e72b81541d601180807
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Sumario:The advantages coming from involving quantum systems in machine learning are still not fully clear. Here, the authors propose a software/hardware co-design framework towards quantum-friendly neural networks showing quantum advantage, representing data as either random variables or numbers in unitary matrices.