Born machine model based on matrix product state quantum circuit

DOI10.1016/J.PHYSA.2022.126907OpenAlexW4206409667MaRDI QIDQ2669398

Si-Hang Liu, Ling-Zhi Xiang, Nan-Run Zhou, Li-Hua Gong

Publication date: 9 March 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2022.126907

zbMATH Keywords

wave functionBorn machinematrix product state quantum circuitmaximal mean discrepancy

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Related Items (4)

Quantum SUSAN edge detection based on double chains quantum genetic algorithm ⋮ Conditional quantum circuit Born machine based on a hybrid quantum-classical framework ⋮ Enhancing quantum support vector machines through variational kernel training ⋮ New quantum algorithm for visual tracking

Uses Software

• CycleGAN
• pix2pix
• MMD GAN

Cites Work

• Unnamed Item
• Tensor-Train Decomposition
• A practical introduction to tensor networks: Matrix product states and projected entangled pair states
• The density-matrix renormalization group in the age of matrix product states
• Kernel methods in machine learning
• Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates
• An encrypted coverless information hiding method based on generative models
• A Hilbert Space Embedding for Distributions
• On Information and Sufficiency

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