Cover Image

Enhancing the expressivity of quantum neural networks with residual connections

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Jingwei, Huang, Zhiguo, Cai, Dunbo, Qian, Ling
Format:	Preprint
Published:	2024
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Determination of Landé $g_J$ factor and Zeeman coefficients in ground-state $^{171}$Yb$^+$ and their applications to quantum frequency standards
by: Han, Jize, et al.
Published: (2025)

Randomness-enhanced expressivity of quantum neural networks
by: Wu, Yadong, et al.
Published: (2023)

A full circuit-based quantum algorithm for excited-states in quantum chemistry
by: Wen, Jingwei, et al.
Published: (2021)

Surrogate Modeling via Factorization Machine and Ising Model with Enhanced Higher-Order Interaction Learning
by: Wang, Anbang, et al.
Published: (2025)

A hardware efficient quantum residual neural network without post-selection
by: Khatun, Amena, et al.
Published: (2026)

Achieving High-Quality Portfolio Optimization with the Variational Quantum Eigensolver
by: Wang, Anbang, et al.
Published: (2025)

Distilling the knowledge with quantum neural networks
by: Yan, Yuxuan, et al.
Published: (2026)

Quantum connectivity of quantum networks
by: Mondal, Md Sohel, et al.
Published: (2026)

Symmetry-guided gradient descent for quantum neural networks
by: Bian, Kaiming, et al.
Published: (2024)

Post-variational quantum neural networks
by: Huang, Po-Wei, et al.
Published: (2023)

Identification of quantum generative circuits with parallel quantum neural network
by: Wu, Zheping, et al.
Published: (2026)

Microcomb-driven large-scale fully connected quantum network
by: Wang, Fang-Xiang, et al.
Published: (2025)

Enhanced quantum state preparation via stochastic prediction of neural network
by: Li, Chao-Chao, et al.
Published: (2023)

Enhancing quantum state tomography via resource-efficient attention-based neural networks
by: Palmieri, Adriano Macarone, et al.
Published: (2023)

Scalable quantum neural networks by few quantum resources
by: Pastorello, Davide, et al.
Published: (2023)

Measuring network quantum steerability utilizing artificial neural networks
by: Li, Mengyan, et al.
Published: (2025)

Optimal resource requirements for connected quantum sub-networks
by: Shekhar, Shashank, et al.
Published: (2025)

Neural quantum kernels: training quantum kernels with quantum neural networks
by: Rodriguez-Grasa, Pablo, et al.
Published: (2024)

Liouvillian skin effect in quantum neural networks
by: Sannia, Antonio, et al.
Published: (2024)

On measurement-dependent variance in quantum neural networks
by: Kardashin, Andrey, et al.
Published: (2026)

The inherent convolution property of quantum neural networks
by: Qu, Guangkai, et al.
Published: (2025)

Research progress on quantum neural networks and quantum machine learning
by: Sun, Yifan, et al.
Published: (2026)

Improving neural network performance for solving quantum sign structure
by: Ou, Xiaowei, et al.
Published: (2025)

Continuous-time quantum-walk centrality for protein residue interaction networks
by: Mohtashim, Shah Ishmam, et al.
Published: (2026)

Asymptotic robustness of entanglement in noisy quantum networks and graph connectivity
by: Lledó, Fernando, et al.
Published: (2024)

Getting large-scale quantum neural networks ready for quantum hardware
by: Boneberg, Mario, et al.
Published: (2026)

Taming the expressiveness of neural-network wave functions for robust convergence to quantum many-body states
by: Jin, Dezhe Z.
Published: (2026)

Single-shot quantum neural networks with amplitude estimation
by: Seo, Jaemin
Published: (2026)

QGHNN: A quantum graph Hamiltonian neural network
by: Wang, Wenxuan
Published: (2025)

Lean classical-quantum hybrid neural network model for image classification
by: Liu, Ao, et al.
Published: (2024)

Percolation thresholds and connectivity in quantum networks
by: De Girolamo, Andrea, et al.
Published: (2025)

Disentangling quantum neural networks for unified estimation of quantum entropies and distance measures
by: Shin, Myeongjin, et al.
Published: (2024)

Physics-informed neural network for quantum control of NMR registers
by: Batra, Priya, et al.
Published: (2024)

Revealing the working mechanism of quantum neural networks by mutual information
by: Zhang, Xin, et al.
Published: (2024)

Digital-analog quantum convolutional neural networks for image classification
by: Simen, Anton, et al.
Published: (2024)

Measurement-based quantum convolutional neural network for deep learning
by: Sun, Yifan, et al.
Published: (2024)

Error-mitigated quantum state tomography using neural networks
by: Hu, Yixuan, et al.
Published: (2026)

Physics-inspired neural networks as quasi inverse of quantum channels
by: Aziz, Sameen, et al.
Published: (2025)

Analysis of quantum neural network performance via edge cases
by: Mansky, Maximilian Balthasar, et al.
Published: (2025)

A nonlinear quantum neural network framework for entanglement engineering
by: Macarone-Palmieri, Adriano, et al.
Published: (2025)