Neural-network-assisted Monte Carlo sampling trained by Quantum Approximate Optimization Algorithm
Fuente:
arXiv
Saved in:
| Main Authors: | Nakano, Yuichiro, Okada, Ken N., Fujii, Keisuke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Quantum Approximate Optimization Algorithm for Local Hamiltonian Problems
by: Kannan, Ishaan, et al.
Published: (2024)
by: Kannan, Ishaan, et al.
Published: (2024)
Quantum sequel of neural network training
by: Zhang, Hao, et al.
Published: (2025)
by: Zhang, Hao, et al.
Published: (2025)
Variational subspace methods and application to improving variational Monte Carlo dynamics
by: Kahn, Adrien, et al.
Published: (2025)
by: Kahn, Adrien, et al.
Published: (2025)
Quantum Error Mitigation Simulates General Non-Hermitian Dynamics
by: Kuji, Hiroki, et al.
Published: (2026)
by: Kuji, Hiroki, et al.
Published: (2026)
Generalized Probabilistic Approximate Optimization Algorithm
by: Abdelrahman, Abdelrahman S., et al.
Published: (2025)
by: Abdelrahman, Abdelrahman S., et al.
Published: (2025)
Variational Monte Carlo with Large Patched Transformers
by: Sprague, Kyle, et al.
Published: (2023)
by: Sprague, Kyle, et al.
Published: (2023)
Neural-network quantum states for many-body physics
by: Medvidović, Matija, et al.
Published: (2024)
by: Medvidović, Matija, et al.
Published: (2024)
Scaling Advantage in Approximate Optimization with Quantum Annealing
by: Bauza, Humberto Munoz, et al.
Published: (2024)
by: Bauza, Humberto Munoz, et al.
Published: (2024)
Neural Importance Resampling: A Practical Sampling Strategy for Neural Quantum States
by: Ledinauskas, Eimantas, et al.
Published: (2025)
by: Ledinauskas, Eimantas, et al.
Published: (2025)
Quantum Light Detection with Enhanced Photonic Neural Network
by: Świerczewski, Stanisław, et al.
Published: (2026)
by: Świerczewski, Stanisław, et al.
Published: (2026)
Neural Projected Quantum Dynamics: a systematic study
by: Gravina, Luca, et al.
Published: (2024)
by: Gravina, Luca, et al.
Published: (2024)
Quantum-Inspired Algorithm for Classical Spin Hamiltonians Based on Matrix Product Operators
by: Watanabe, Ryo, et al.
Published: (2026)
by: Watanabe, Ryo, et al.
Published: (2026)
DysonNet: Constant-Time Local Updates for Neural Quantum States
by: Winter, Lucas, et al.
Published: (2026)
by: Winter, Lucas, et al.
Published: (2026)
Deep Neural Networks as Variational Solutions for Correlated Open Quantum Systems
by: Mellak, Johannes, et al.
Published: (2024)
by: Mellak, Johannes, et al.
Published: (2024)
Probing the Spacetime Structure of Entanglement in Monitored Quantum Circuits with Graph Neural Networks
by: Vahedi, Javad, et al.
Published: (2026)
by: Vahedi, Javad, et al.
Published: (2026)
Universal Performance Gap of Neural Quantum States Applied to the Hofstadter-Bose-Hubbard Model
by: Ledinauskas, Eimantas, et al.
Published: (2024)
by: Ledinauskas, Eimantas, et al.
Published: (2024)
Limitations of tensor network approaches for optimization and sampling: A comparison to quantum and classical Ising machines
by: Dziubyna, Anna Maria, et al.
Published: (2024)
by: Dziubyna, Anna Maria, et al.
Published: (2024)
Online calibration scheme for training restricted Boltzmann machines with quantum annealing
by: Goto, Takeru, et al.
Published: (2023)
by: Goto, Takeru, et al.
Published: (2023)
On the interpretability of neural network decoders
by: Bödeker, Lukas, et al.
Published: (2025)
by: Bödeker, Lukas, et al.
Published: (2025)
When Less is More: Approximating the Quantum Geometric Tensor with Block Structures
by: Shokry, Ahmedeo, et al.
Published: (2025)
by: Shokry, Ahmedeo, et al.
Published: (2025)
Percolation thresholds and connectivity in quantum networks
by: De Girolamo, Andrea, et al.
Published: (2025)
by: De Girolamo, Andrea, et al.
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)
by: Liu, Zejun, et al.
Published: (2023)
Adiabatic transport of neural network quantum states
by: Medvidović, Matija, et al.
Published: (2025)
by: Medvidović, Matija, et al.
Published: (2025)
A Monte Carlo Tree Search approach to QAOA: finding a needle in the haystack
by: Agirre, Andoni, et al.
Published: (2024)
by: Agirre, Andoni, et al.
Published: (2024)
Continuum field theory of matchgate tensor network ensembles
by: Usoltcev, Maksimilian, et al.
Published: (2026)
by: Usoltcev, Maksimilian, et al.
Published: (2026)
Optimal storage capacity of quantum Hopfield neural networks
by: Bödeker, Lukas, et al.
Published: (2022)
by: Bödeker, Lukas, et al.
Published: (2022)
Neural Network Ground State from the Neural Tangent Kernel Perspective: The Sign Bias
by: Kol-Namer, Harel, et al.
Published: (2024)
by: Kol-Namer, Harel, et al.
Published: (2024)
Connectivity determines the capability of sparse neural network quantum states
by: Barton, Brandon, et al.
Published: (2025)
by: Barton, Brandon, et al.
Published: (2025)
Observation and Modulation of the Quantum Mpemba Effect on a Superconducting Quantum Processor
by: Xu, Yueshan, et al.
Published: (2025)
by: Xu, Yueshan, et al.
Published: (2025)
Solving Classical and Quantum Spin Glasses with Deep Boltzmann Quantum States
by: Leone, Luca, et al.
Published: (2026)
by: Leone, Luca, et al.
Published: (2026)
Noncooperative Quantum Networks
by: Shao, Yanxuan, et al.
Published: (2025)
by: Shao, Yanxuan, et al.
Published: (2025)
Quantum logarithmic multifractality
by: Chen, Weitao, et al.
Published: (2023)
by: Chen, Weitao, et al.
Published: (2023)
Reconstructing the Hamiltonian from the local density of states using neural networks
by: Paul, Nisarga, et al.
Published: (2025)
by: Paul, Nisarga, et al.
Published: (2025)
Enhancing Neural-Network Variational Monte Carlo through Basis Transformation
by: Liu, Zhixuan, et al.
Published: (2026)
by: Liu, Zhixuan, et al.
Published: (2026)
Attention-Like Hebbian Learning from Quantum Probability Flow and Quantum-Annealer Tests
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Enhanced image classification via hybridizing quantum dynamics with classical neural networks
by: Zhou, Ruiyang, et al.
Published: (2025)
by: Zhou, Ruiyang, et al.
Published: (2025)
Efficiency of neural-network state representations of one-dimensional quantum spin systems
by: Pan, Ruizhi, et al.
Published: (2023)
by: Pan, Ruizhi, et al.
Published: (2023)
Accelerating Noisy Variational Quantum Algorithms with Physics-Informed Denoising Networks
by: Liu, Jie, et al.
Published: (2026)
by: Liu, Jie, et al.
Published: (2026)
Variational Tensor Neural Networks for Deep Learning
by: Jahromi, Saeed S., et al.
Published: (2022)
by: Jahromi, Saeed S., et al.
Published: (2022)
Phase-Space Framework for Noisy Intermediate-Scale Quantum Optical Neural Networks
by: Świerczewski, Stanisław, et al.
Published: (2025)
by: Świerczewski, Stanisław, et al.
Published: (2025)
Similar Items
-
A Quantum Approximate Optimization Algorithm for Local Hamiltonian Problems
by: Kannan, Ishaan, et al.
Published: (2024) -
Quantum sequel of neural network training
by: Zhang, Hao, et al.
Published: (2025) -
Variational subspace methods and application to improving variational Monte Carlo dynamics
by: Kahn, Adrien, et al.
Published: (2025) -
Quantum Error Mitigation Simulates General Non-Hermitian Dynamics
by: Kuji, Hiroki, et al.
Published: (2026) -
Generalized Probabilistic Approximate Optimization Algorithm
by: Abdelrahman, Abdelrahman S., et al.
Published: (2025)