Cover Image

Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Kaining, Liu, Liu, Hsieh, Min-Hsiu, Tao, Dacheng
Format:	Preprint
Published:	2022
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Barren Plateaus in Quantum Denoising Diffusion Probabilistic Model
by: Cao, Haipeng, et al.
Published: (2025)

Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
by: Du, Yuxuan, et al.
Published: (2024)

The curse of random quantum data
by: Zhang, Kaining, et al.
Published: (2024)

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

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

Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2023)

Random-Matrix-Induced Simplicity Bias in Over-parameterized Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2026)

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

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

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers
by: Du, Yuxuan, et al.
Published: (2025)

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

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

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)

AQER: a scalable and efficient data loader for digital quantum computers
by: Zhang, Kaining, et al.
Published: (2026)

Quantum Optimization for Training Quantum Neural Networks
by: Liao, Yidong, et al.
Published: (2021)

Taming Barren Plateaus in Arbitrary Parameterized Quantum Circuits without Sacrificing Expressibility
by: Chen, Zhenyu, et al.
Published: (2025)

TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
by: Qi, Jun, et al.
Published: (2025)

Illustration of Barren Plateaus in Quantum Computing
by: Stenzel, Gerhard, et al.
Published: (2026)

VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
by: Qi, Jun, et al.
Published: (2025)

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

Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
by: Lee, Yu-Ting, et al.
Published: (2026)

Special-Unitary Parameterization for Trainable Variational Quantum Circuits
by: Chen, Kuan-Cheng, et al.
Published: (2025)

Enhancing Variational Quantum Circuit Training: An Improved Neural Network Approach for Barren Plateau Mitigation
by: Yi, Zhehao, et al.
Published: (2024)

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

QAdaPrune: Adaptive Parameter Pruning For Training Variational Quantum Circuits
by: Kulshrestha, Ankit, et al.
Published: (2024)

VQEzy: An Open-Source Dataset for Parameter Initialization in Variational Quantum Eigensolvers
by: Zhang, Chi, et al.
Published: (2025)

Reinforcement Learning for Variational Quantum Circuits Design
by: Foderà, Simone, et al.
Published: (2024)

Barren plateaus are amplified by the dimension of qudits
by: Friedrich, Lucas, et al.
Published: (2024)

Active Learning with Variational Quantum Circuits for Quantum Process Tomography
by: Yang, Jiaqi, et al.
Published: (2024)

Cyclic Variational Quantum Eigensolver: Escaping Barren Plateaus through Staircase Descent
by: Zhang, Hao, et al.
Published: (2025)

Quantum LEGO Learning: A Modular Design Principle for Hybrid Artificial Intelligence
by: Qi, Jun, et al.
Published: (2026)

Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies
by: Zhuang, Jun, et al.
Published: (2024)

Physics-Informed Bayesian Optimization of Variational Quantum Circuits
by: Nicoli, Kim A., et al.
Published: (2024)

Fourier Analysis of Variational Quantum Circuits for Supervised Learning
by: Wiedmann, Marco, et al.
Published: (2024)

Provably Robust Training of Quantum Circuit Classifiers Against Parameter Noise
by: Tecot, Lucas, et al.
Published: (2025)

DiffQ: Unified Parameter Initialization for Variational Quantum Algorithms via Diffusion Models
by: Zhang, Chi, et al.
Published: (2025)

Qubit-Wise Architecture Search Method for Variational Quantum Circuits
by: Chen, Jialin, et al.
Published: (2024)

Formal Verification of Variational Quantum Circuits
by: Assolini, Nicola, et al.
Published: (2025)

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