Enhanced universality in quantum neural networks with fewer qubits and reduced circuit depth

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.