Cover Image

Noise-Induced Barren Plateaus in Variational Quantum Algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Samson, Fontana, Enrico, Cerezo, M., Sharma, Kunal, Sone, Akira, Cincio, Lukasz, Coles, Patrick J.
Format:	Preprint
Published:	2020
Subjects:	Quantum Physics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
by: Wang, Samson, et al.
Published: (2021)

A semi-agnostic ansatz with variable structure for quantum machine learning
by: Bilkis, M., et al.
Published: (2021)

Practical Black Box Hamiltonian Learning
by: Gu, Andi, et al.
Published: (2022)

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

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

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

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

Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count
by: Bosco, Daniele Lizzio, et al.
Published: (2026)

Quantum Convolutional Neural Networks are Effectively Classically Simulable
by: Bermejo, Pablo, et al.
Published: (2024)

Barren Plateaus as Destructive Interference: A Diagnostic Framework and Implications for Structured Ansatzes
by: Kang, Pilsung
Published: (2026)

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

Enhancing Quantum Variational Algorithms with Zero Noise Extrapolation via Neural Networks
by: Bhattacharjee, Subhasree, et al.
Published: (2024)

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

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

The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze
by: Fontana, Enrico, et al.
Published: (2023)

Quantum Inception Score
by: Sone, Akira, et al.
Published: (2023)

Dynamical simulation via quantum machine learning with provable generalization
by: Gibbs, Joe, et al.
Published: (2022)

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

Scaling Quantum Algorithms via Dissipation: Avoiding Barren Plateaus
by: Zapusek, Elias, et al.
Published: (2025)

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

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

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

Theory for Equivariant Quantum Neural Networks
by: Nguyen, Quynh T., et al.
Published: (2022)

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

Escaping Barren Plateaus in Variational Quantum Algorithms Using Negative Learning Rate in Quantum Internet of Things
by: Rahman, Ratun, et al.
Published: (2025)

Avoiding Barren Plateaus with Entanglement
by: Yao, Yuhan, et al.
Published: (2024)

Exponential concentration in quantum kernel methods
by: Thanasilp, Supanut, 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)

Beyond Barren Plateaus: A Scalable Quantum Convolutional Architecture for High-Fidelity Image Classification
by: Delhibabu, Radhakrishnan
Published: (2026)

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

Barren Plateaus Beyond Observable Concentration
by: Li, Zi-Shen, et al.
Published: (2026)

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

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

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

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

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

Scalable quantum dynamics compilation via quantum machine learning
by: Zhang, Yuxuan, et al.
Published: (2024)

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

Quantum Shadow Gradient Descent for Variational Quantum Algorithms
by: Heidari, Mohsen, et al.
Published: (2023)