Enhancing the expressivity of quantum neural networks with residual connections
Jingwei Wen,
Zhiguo Huang,
Dunbo Cai
et al.
Abstract:In noisy intermediate-scale quantum era, the research on the combination of artificial intelligence and quantum computing has been greatly developed. Here we propose a quantum circuit-based algorithm to implement quantum residual neural networks, where the residual connection channels are constructed by introducing auxiliary qubits to data-encoding and trainable blocks in quantum neural networks. We prove that when this particular network architecture is applied to a l-layer data-encoding, the number of freque… Show more
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