Cover Image

Enhanced quantum state preparation via stochastic prediction of neural network

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chao-Chao, He, Run-Hong, Wang, Zhao-Ming
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Arbitrary quantum states preparation aided by deep reinforcement learning
by: Wang, Zhao-Wei, et al.
Published: (2024)

Arbitrary state preparation in quantum harmonic oscillators using neural networks
by: Parra-A, Nicolas, et al.
Published: (2025)

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

Dissipation-assisted preparation of topological boundary states
by: Peng, Yi, et al.
Published: (2024)

Features of preparable entangled states in Gaussian quantum networks
by: Du, Shuanping, et al.
Published: (2025)

Representational power of selected neural network quantum states in second quantization
by: Li, Zhendong, et al.
Published: (2025)

QGAN-based data augmentation for hybrid quantum-classical neural networks
by: He, Run-Ze, et al.
Published: (2025)

Efficient quantum state preparation of multivariate functions using tensor networks
by: Ballarin, Marco, et al.
Published: (2025)

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

Optimal control for preparing fractional quantum Hall states in optical lattices
by: Wu, Ling-Na, et al.
Published: (2025)

Real-time preparation and verification of nonstabilizer states
by: Li, Jian, et al.
Published: (2025)

Time series prediction of open quantum system dynamics
by: Wang, Zhao-Wei, et al.
Published: (2024)

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

Space-time tradeoff for sparse quantum state preparation
by: Luo, Jingquan, et al.
Published: (2025)

Enhancing the expressivity of quantum neural networks with residual connections
by: Wen, Jingwei, et al.
Published: (2024)

The cross-sectional stock return predictions via quantum neural network and tensor network
by: Kobayashi, Nozomu, et al.
Published: (2023)

Rapid quantum ground state preparation via dissipative dynamics
by: Zhan, Yongtao, et al.
Published: (2025)

Enhanced quantum metrology by criticality-assisted noncommutative preparation
by: Kong, Ningxin, et al.
Published: (2026)

QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation
by: Ivashkov, Petr, et al.
Published: (2024)

Quantum neural networks facilitating quantum state classification
by: Sharma, Diksha, et al.
Published: (2025)

Adiabatic transport of neural network quantum states
by: Medvidović, Matija, et al.
Published: (2025)

Realization of fractional quantum Hall state with interacting photons
by: Wang, Can, et al.
Published: (2024)

Simultaneous approximation of multiple degenerate states using a single neural network quantum state
by: Sherif, Waleed
Published: (2025)

Integrated high-fidelity preparation and analysis of photonic two-qubit states for quantum network nodes
by: Zatsch, Jonas C. J., et al.
Published: (2025)

Quantum circuit synthesis for the preparation of arbitrary and highly sparse mixed quantum states
by: Chen, Bo-Hung, et al.
Published: (2024)

Seeding neural network quantum states with tensor network states
by: Kaneko, Ryui, et al.
Published: (2025)

Hybrid quantum recurrent neural network for remaining useful life prediction
by: Tsurkan, Olga, et al.
Published: (2025)

Certification of linear optical quantum state preparation
by: Schadow, Riko, et al.
Published: (2026)

Exponential optimization of adiabatic quantum-state preparation
by: Cugini, Davide, et al.
Published: (2024)

Logarithmic-depth quantum state preparation of polynomials
by: Claudon, Baptiste, et al.
Published: (2026)

Second-order optimisation strategies for neural network quantum states
by: Drissi, M., et al.
Published: (2024)

Characterizing the set of quantum correlations in prepare-and-measure quantum chain-shaped networks
by: Jia, Yanning, et al.
Published: (2024)

Fast quantum state transfer and entanglement preparation in strongly coupled bosonic systems
by: Xu, Yilun, et al.
Published: (2023)

Versatile probe state preparation via generalized measurements for quantum sensing and thermometry
by: Santos, Jonas F. G., et al.
Published: (2026)

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

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

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

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

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

Unifying view of fermionic neural network quantum states: From neural network backflow to hidden fermion determinant states
by: Liu, Zejun, et al.
Published: (2023)