Cover Image

Enhancing Variational Quantum Circuit Training: An Improved Neural Network Approach for Barren Plateau Mitigation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yi, Zhehao, Liang, Yanying, Situ, Haozhen
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

Neural-network Generated Quantum State Can Mitigate the Barren Plateau in Variational Quantum Circuits
by: Yi, Zhehao, et al.
Published: (2024)

Geometric Optimization on Lie Groups: A Lie-Theoretic Explanation of Barren Plateau Mitigation for Variational Quantum Algorithms
by: Yi, Zhehao, et al.
Published: (2025)

The PID Controller Strikes Back: Classical Controller Helps Mitigate Barren Plateaus in Noisy Variational Quantum Circuits
by: Yi, Zhehao, et al.
Published: (2025)

Learnability of a hybrid quantum-classical neural network for graph-structured quantum data
by: Liang, Yanying, et al.
Published: (2024)

Polygamy relations for tripartite and multipartite quantum systems
by: Liang, Yanying, et al.
Published: (2023)

Q-LINK: Quantum Layerwise Information Residual Network via a Messenger Qubit for Barren Plateaus Mitigation
by: Yi, Zhehao, et al.
Published: (2026)

Can Classical Initialization Help Variational Quantum Circuits Escape the Barren Plateau?
by: Peng, Yifeng, et al.
Published: (2025)

Quantum Convolutional Neural Network with Nonlinear Effects and Barren Plateau Mitigation
by: Yang, Pei-Kun
Published: (2025)

A Dynamical Lie-Algebraic Framework for Hamiltonian Engineering and Quantum Control
by: Liang, Yanying, et al.
Published: (2026)

Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
by: Cunningham, Jack, et al.
Published: (2024)

Fourier Analysis of Parameterized Quantum Circuits and the Barren Plateau Problem
by: Okumura, Shun, et al.
Published: (2023)

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
by: Zhang, Kaining, et al.
Published: (2022)

Mitigating Barren Plateaus in Variational Quantum Circuits through PDE-Constrained Loss Functions
by: Hewage, Prasad Nimantha Madusanka Ukwatta, et al.
Published: (2026)

Escaping Barren Plateau: Co-Exploration of Quantum Circuit Parameters and Architectures
by: Liu, Yipei, et al.
Published: (2025)

ResQNets: A Residual Approach for Mitigating Barren Plateaus in Quantum Neural Networks
by: Kashif, Muhammad, et al.
Published: (2023)

Gradient Analysis of Barren Plateau in Parameterized Quantum Circuits with multi-qubit gates
by: Yao, Yuhan, et al.
Published: (2026)

Recent Advances in Quantum Architecture Search
by: Situ, Haozhen, et al.
Published: (2026)

Simulating Nonlinearity in Quantum Neural Networks While Mitigating Barren Plateaus
by: Yang, Ding-Dang
Published: (2025)

Comprehensive Numerical Studies of Barren Plateau and Overparametrization in Variational Quantum Algorithm
by: Hashimoto, Himuro, et al.
Published: (2026)

Investigating Different Barren Plateaus Mitigation Strategies in Variational Quantum Eigensolver
by: Atallah, Mostafa, et al.
Published: (2025)

Quantum Physics-Informed Neural Networks for Maxwell's Equations: Circuit Design, "Black Hole" Barren Plateaus Mitigation, and GPU Acceleration
by: Chen, Ziv, et al.
Published: (2025)

A Survey of Methods for Mitigating Barren Plateaus for Parameterized Quantum Circuits
by: Gelman, Michelle
Published: (2024)

Breaking Through Barren Plateaus: Reinforcement Learning Initializations for Deep Variational Quantum Circuits
by: Peng, Yifeng, et al.
Published: (2025)

Overcoming Barren Plateaus in Variational Quantum Circuits using a Two-Step Least Squares Approach
by: Boabang, Francis, et al.
Published: (2026)

Batched Line Search Strategy for Navigating through Barren Plateaus in Quantum Circuit Training
by: Nádori, Jakab, et al.
Published: (2024)

Learning the Expressibility of Quantum Circuit Ansatz Using Transformer
by: Fei Zhang, et al.
Published: (2025)

Barren Plateaus in Variational Quantum Computing
by: Larocca, Martin, et al.
Published: (2024)

Quantum continual learning of quantum data realizing knowledge backward transfer
by: Situ, Haozhen, et al.
Published: (2022)

Laziness, Barren Plateau, and Noise in Machine Learning
by: Liu, Junyu, et al.
Published: (2022)

GSQAS: Graph Self-supervised Quantum Architecture Search
by: He, Zhimin, et al.
Published: (2023)

Direct Gradient Computation for Barren Plateaus in Parameterized Quantum Circuits
by: Yao, Yuhan, et al.
Published: (2025)

Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2024)

Measurement-Induced Landscape Transitions and Coding Barren Plateaus in Hybrid Variational Quantum Circuits
by: Gyawali, Gaurav, et al.
Published: (2023)

Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
by: Zhuang, Jun, et al.
Published: (2025)

Learning the expressibility of quantum circuit ansatz using transformer
by: Zhang, Fei, et al.
Published: (2024)

Distributed quantum architecture search
by: Situ, Haozhen, et al.
Published: (2024)

Noise-Induced Barren Plateaus in Variational Quantum Algorithms
by: Wang, Samson, et al.
Published: (2020)

H-EFT-VA: An Effective-Field-Theory Variational Ansatz with Provable Barren Plateau Avoidance
by: Hamid, Eyad I. B
Published: (2026)

A Lie Algebraic Theory of Barren Plateaus for Deep Parameterized Quantum Circuits
by: Ragone, Michael, et al.
Published: (2023)

The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
by: Kashif, Muhammad, et al.
Published: (2024)