Quantum machine learning is a burgeoning field of research [1] with a broad range of potential applications.One of its important applications is quantum neural networks (QNNs),which realize neural networks on a quantum device.QNNs can be successfully designed based on several intrinsic properties,such as universality and trainability.
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机译:Distinct roles of Hoxa2 and Krox20 in the development of rhythmic neural networks controlling inspiratory depth, respiratory frequency, and jaw opening