Imagen de Portada

Deep Neural Network Emulation of the Quantum-Classical Transition via Learned Wigner Function Dynamics

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Majid, Kamran
Formato:	Preprint
Publicado:	2025
Materias:	Quantum Physics Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Neural Network Emulation of the Classical Limit in Quantum Systems via Learned Observable Mappings
por: Majid, Kamran
Publicado: (2025)

Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
por: Viqueira, José Daniel, et al.
Publicado: (2023)

Quantum Convolutional Neural Networks are Effectively Classically Simulable
por: Bermejo, Pablo, et al.
Publicado: (2024)

Winning Lottery Tickets in Neural Networks via a Quantum-Inspired Classical Algorithm
por: Isogai, Natsuto, et al.
Publicado: (2026)

Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
por: Sakhnenko, Alona, et al.
Publicado: (2024)

QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
por: Farea, Afrah, et al.
Publicado: (2025)

Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data
por: Mahmud, Jishnu, et al.
Publicado: (2023)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
por: Hasan, Mohammad Junayed, et al.
Publicado: (2023)

Hybrid Quantum-Classical Neural Networks for Few-Shot Credit Risk Assessment
por: Wang, Zheng-an, et al.
Publicado: (2025)

Hybrid Quantum-Classical Neural Architecture Search
por: Marchisio, Alberto, et al.
Publicado: (2026)

Towards Arbitrary QUBO Optimization: Analysis of Classical and Quantum-Activated Feedforward Neural Networks
por: Lai, Chia-Tso, et al.
Publicado: (2024)

How Embeddings Shape Graph Neural Networks: Classical vs Quantum-Oriented Node Representations
por: Innan, Nouhaila, et al.
Publicado: (2026)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
por: Freinberger, Dominik, et al.
Publicado: (2026)

Experimental Machine Learning with Classical and Quantum Data via NMR Quantum Kernels
por: Sabarad, Vivek, et al.
Publicado: (2024)

Hybrid Quantum-Classical Recurrent Neural Networks
por: Xu, Wenduan
Publicado: (2025)

Quantum-Classical Machine learning by Hybrid Tensor Networks
por: Liu, Ding, et al.
Publicado: (2020)

Classical Verification of Quantum Learning Advantages with Noises
por: Ma, Yinghao, et al.
Publicado: (2024)

Hybrid Classical-Quantum Transfer Learning with Noisy Quantum Circuits
por: Martín-Pérez, D., et al.
Publicado: (2026)

On Emergences of Non-Classical Statistical Characteristics in Classical Neural Networks
por: Zhao, Hanyu, et al.
Publicado: (2026)

Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
por: Basilewitsch, Daniel, et al.
Publicado: (2024)

The Quantum Learning Menagerie (A survey on Quantum learning for Classical concepts)
por: Chatterjee, Sagnik
Publicado: (2026)

Hybrid Quantum-Classical Learning for Multiclass Image Classification
por: Anwar, Shuchismita, et al.
Publicado: (2025)

A Comparison Between Invariant and Equivariant Classical and Quantum Graph Neural Networks
por: Forestano, Roy T., et al.
Publicado: (2023)

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
por: Incudini, Massimiliano, et al.
Publicado: (2022)

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks
por: Mattick, Alexander, et al.
Publicado: (2025)

Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems
por: Shah, Freya, et al.
Publicado: (2024)

Quantum Reinforcement Learning-Guided Diffusion Model for Image Synthesis via Hybrid Quantum-Classical Generative Model Architectures
por: Chen, Chi-Sheng, et al.
Publicado: (2025)

Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
por: Kamei, Suzukaze, et al.
Publicado: (2025)

Distributed Quantum Neural Networks via Partitioned Features Encoding
por: Kawase, Yoshiaki
Publicado: (2023)

Quantum-Enhanced Generative Adversarial Networks: Comparative Analysis of Classical and Hybrid Quantum-Classical Generative Adversarial Networks
por: Goh, Kun Ming
Publicado: (2025)

Classical Verification of Quantum Learning
por: Caro, Matthias C., et al.
Publicado: (2023)

Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
por: Chinzei, Koki, et al.
Publicado: (2024)

Inductive Graph Representation Learning with Quantum Graph Neural Networks
por: Faria, Arthur M., et al.
Publicado: (2025)

Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
por: Smaldone, Anthony M., et al.
Publicado: (2023)

Quantum-Classical Hybrid Molecular Autoencoder for Advancing Classical Decoding
por: Jahin, Afrar, et al.
Publicado: (2025)

$\mathbb{Z}_2\times \mathbb{Z}_2$ Equivariant Quantum Neural Networks: Benchmarking against Classical Neural Networks
por: Dong, Zhongtian, et al.
Publicado: (2023)

ResQuNNs: Towards Enabling Deep Learning in Quantum Convolution Neural Networks
por: Kashif, Muhammad, et al.
Publicado: (2024)

Quantum Text Classifier -- A Synchronistic Approach Towards Classical and Quantum Machine Learning
por: Santi, Prabhat, et al.
Publicado: (2023)

Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach
por: Sarkar, Soumyadip
Publicado: (2024)

On the Interpretability of Quantum Neural Networks
por: Pira, Lirandë, et al.
Publicado: (2023)