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Decompositional Quantum Graph Neural Network. (arXiv:2201.05158v1 [quant-ph])
Jan. 17, 2022, 2:10 a.m. | Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin Hancock
cs.LG updates on arXiv.org arxiv.org
Quantum machine learning is a fast emerging field that aims to tackle machine
learning using quantum algorithms and quantum computing. Due to the lack of
physical qubits and an effective means to map real-world data from Euclidean
space to Hilbert space, most of these methods focus on quantum analogies or
process simulations rather than devising concrete architectures based on
qubits. In this paper, we propose a novel hybrid quantum-classical algorithm
for graph-structured data, which we refer to as the Decompositional …
More from arxiv.org / cs.LG updates on arXiv.org
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