Image de couverture de livre

Recurrent convolutional neural networks for modeling non-adiabatic dynamics of quantum-classical systems

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ning, Alex P., Yang, Lingyu, Chern, Gia-Wei
Format:	Preprint
Publié:	2024
Sujets:	Quantum Physics Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Graph neural network force fields for adiabatic dynamics of lattice Hamiltonians
par: Fan, Yunhao, et autres
Publié: (2026)

Pattern formation in charge density wave states after a quantum quench
par: Yang, Lingyu, et autres
Publié: (2023)

Understanding the effects of data encoding on quantum-classical convolutional neural networks
par: Monnet, Maureen, et autres
Publié: (2024)

A hybrid quantum-classical framework for computational fluid dynamics
par: Ye, Chuang-Chao, et autres
Publié: (2024)

The inherent convolution property of quantum neural networks
par: Qu, Guangkai, et autres
Publié: (2025)

Lean classical-quantum hybrid neural network model for image classification
par: Liu, Ao, et autres
Publié: (2024)

MPSDynamics.jl: Tensor network simulations for finite-temperature (non-Markovian) open quantum system dynamics
par: Lacroix, Thibaut, et autres
Publié: (2024)

Efficient geometric integrators for nonadiabatic quantum dynamics. I. The adiabatic representation
par: Choi, Seonghoon, et autres
Publié: (2019)

Fast surrogate modelling of EIT in atomic quantum systems using LSTM neural networks
par: Hita, Isabel S. Burdon, et autres
Publié: (2025)

Permutation-equivariant quantum convolutional neural networks
par: Das, Sreetama, et autres
Publié: (2024)

Provably Efficient Adiabatic Learning for Quantum-Classical Dynamics
par: Peng, Changnan, et autres
Publié: (2024)

Differences between quantum and classical adiabatic evolution
par: Bösch, Cyrill, et autres
Publié: (2023)

Predicting open quantum dynamics with data-informed quantum-classical dynamics
par: Xie, Pinchen, et autres
Publié: (2025)

Digital-analog quantum convolutional neural networks for image classification
par: Simen, Anton, et autres
Publié: (2024)

Measurement-based quantum convolutional neural network for deep learning
par: Sun, Yifan, et autres
Publié: (2024)

Imaging at the quantum limit with convolutional neural networks
par: Proppe, Andrew H., et autres
Publié: (2025)

Inverse Physics-informed neural networks procedure for detecting noise in open quantum systems
par: de Lima, Gubio G., et autres
Publié: (2025)

Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories
par: Rayat, Ali, et autres
Publié: (2026)

Resource-efficient equivariant quantum convolutional neural networks
par: Chinzei, Koki, et autres
Publié: (2024)

Thermodynamic speed limit for non-adiabatic work and its classical-quantum decomposition
par: Yamauchi, Aoi, et autres
Publié: (2025)

Critical quantum metrology robust against dissipation and non-adiabaticity
par: Lü, Jia-Hao, et autres
Publié: (2024)

Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networks
par: Lozano-Cruz, Jesús, et autres
Publié: (2025)

The role of data embedding in equivariant quantum convolutional neural networks
par: Das, Sreetama, et autres
Publié: (2023)

Shortcuts to adiabaticity in harmonic traps: a quantum-classical analog
par: Hardel, Vincent, et autres
Publié: (2024)

Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
par: Zapletal, Petr, et autres
Publié: (2023)

Variational adiabatic transport of tensor networks
par: Kim, Hyeongjin, et autres
Publié: (2023)

Machine learning one-dimensional spinless trapped fermionic systems with neural-network quantum states
par: Keeble, J. W. T., et autres
Publié: (2023)

Machine-learning modeling of magnetization dynamics in quasi-equilibrium and driven metallic spin systems
par: Chern, Gia-Wei, et autres
Publié: (2026)

Benefits of non-adiabatic quantum control in quantum computation through spin qubit systems
par: Dutta, Nirupam
Publié: (2024)

A rigorous hybridization of variational quantum eigensolver and classical neural network
par: Kim, Minwoo, et autres
Publié: (2026)

Comparing concepts of quantum and classical neural network models for image classification task
par: Potempa, Rafal, et autres
Publié: (2021)

Ultrafast spintronics with geometric effects in non-adiabatic wave-packet dynamics
par: Tu, Matisse Wei-Yuan, et autres
Publié: (2022)

The adiabatic theorem for non-Hermitian quantum systems with real eigenvalues and the complex geometric phase
par: Huang, Minyi, et autres
Publié: (2025)

Learnability of a hybrid quantum-classical neural network for graph-structured quantum data
par: Liang, Yanying, et autres
Publié: (2024)

Coherent spatial control of wave packet dynamics on quantum lattices
par: Tutunnikov, Ilia, et autres
Publié: (2023)

Alternative adiabatic quantum dynamics with algorithmic applications
par: Cunningham, Joseph, et autres
Publié: (2026)

Genuine multipartite entanglement verification with convolutional neural networks
par: Luo, Yi-Jun, et autres
Publié: (2025)

Simulating non-Markovian open quantum dynamics by exploiting physics-informed neural network
par: Cao, Long, et autres
Publié: (2026)

Enhanced image classification via hybridizing quantum dynamics with classical neural networks
par: Zhou, Ruiyang, et autres
Publié: (2025)

Heisenberg dynamics of mixed quantum-classical systems
par: Martínez-Crespo, David, et autres
Publié: (2024)