Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Samson, Czarnik, Piotr, Arrasmith, Andrew, Cerezo, M., Cincio, Lukasz, Coles, Patrick J. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2021
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
por: Wang, Samson, et al.
Publicado: (2020)
por: Wang, Samson, et al.
Publicado: (2020)
Barren Plateaus in Variational Quantum Computing
por: Larocca, Martin, et al.
Publicado: (2024)
por: Larocca, Martin, et al.
Publicado: (2024)
A semi-agnostic ansatz with variable structure for quantum machine learning
por: Bilkis, M., et al.
Publicado: (2021)
por: Bilkis, M., et al.
Publicado: (2021)
Practical Black Box Hamiltonian Learning
por: Gu, Andi, et al.
Publicado: (2022)
por: Gu, Andi, et al.
Publicado: (2022)
Improving the efficiency of learning-based error mitigation
por: Czarnik, Piotr, et al.
Publicado: (2022)
por: Czarnik, Piotr, et al.
Publicado: (2022)
Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce $T$-count
por: Bosco, Daniele Lizzio, et al.
Publicado: (2026)
por: Bosco, Daniele Lizzio, et al.
Publicado: (2026)
Quantum Convolutional Neural Networks are Effectively Classically Simulable
por: Bermejo, Pablo, et al.
Publicado: (2024)
por: Bermejo, Pablo, et al.
Publicado: (2024)
Adversarial Effects on Expressibility and Trainability in Distributed Variational Quantum Algorithms
por: Sadhu, Abhishek, et al.
Publicado: (2026)
por: Sadhu, Abhishek, et al.
Publicado: (2026)
Robust design under uncertainty in quantum error mitigation
por: Prodius, Maksym, et al.
Publicado: (2023)
por: Prodius, Maksym, et al.
Publicado: (2023)
Dynamical simulation via quantum machine learning with provable generalization
por: Gibbs, Joe, et al.
Publicado: (2022)
por: Gibbs, Joe, et al.
Publicado: (2022)
Efficient Online Quantum Circuit Learning with No Upfront Training
por: O'Leary, Tom, et al.
Publicado: (2025)
por: O'Leary, Tom, et al.
Publicado: (2025)
Trainability Beyond Linearity in Variational Quantum Objectives
por: Ma, Gordon, et al.
Publicado: (2026)
por: Ma, Gordon, et al.
Publicado: (2026)
Geometric Preconditioning and Curriculum Optimization for Trainable Variational Quantum Regression
por: Meng, Qingyu, et al.
Publicado: (2026)
por: Meng, Qingyu, et al.
Publicado: (2026)
Special-Unitary Parameterization for Trainable Variational Quantum Circuits
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)
por: Chen, Kuan-Cheng, et al.
Publicado: (2025)
Enhancing the Trainability of Variational Quantum Circuits with Regularization Strategies
por: Zhuang, Jun, et al.
Publicado: (2024)
por: Zhuang, Jun, et al.
Publicado: (2024)
Compilation, Optimization, Error Mitigation, and Machine Learning in Quantum Algorithms
por: Wang, Shuangbao Paul, et al.
Publicado: (2025)
por: Wang, Shuangbao Paul, et al.
Publicado: (2025)
Theory for Equivariant Quantum Neural Networks
por: Nguyen, Quynh T., et al.
Publicado: (2022)
por: Nguyen, Quynh T., et al.
Publicado: (2022)
Exponential concentration in quantum kernel methods
por: Thanasilp, Supanut, et al.
Publicado: (2022)
por: Thanasilp, Supanut, et al.
Publicado: (2022)
Machine Learning for Practical Quantum Error Mitigation
por: Liao, Haoran, et al.
Publicado: (2023)
por: Liao, Haoran, et al.
Publicado: (2023)
Characterizing Trainability of Instantaneous Quantum Polynomial Circuit Born Machines
por: Shen, Kevin, et al.
Publicado: (2026)
por: Shen, Kevin, et al.
Publicado: (2026)
Deep Learning Approaches to Quantum Error Mitigation
por: Placidi, Leonardo, et al.
Publicado: (2026)
por: Placidi, Leonardo, et al.
Publicado: (2026)
Adaptive H-EFT-VA: A Provably Safe Trajectory Through the Trainability-Expressibility Landscape of Variational Quantum Algorithms
por: Hamid, Eyad I. B.
Publicado: (2026)
por: Hamid, Eyad I. B.
Publicado: (2026)
Evaluating the Limits of QAOA Parameter Transfer at High-Rounds on Sparse Ising Models With Geometrically Local Cubic Terms
por: Pelofske, Elijah, et al.
Publicado: (2025)
por: Pelofske, Elijah, et al.
Publicado: (2025)
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning
por: Anschuetz, Eric R., et al.
Publicado: (2024)
por: Anschuetz, Eric R., et al.
Publicado: (2024)
On the Design of Expressive and Trainable Pulse-based Quantum Machine Learning Models
por: Tao, Han-Xiao, et al.
Publicado: (2025)
por: Tao, Han-Xiao, et al.
Publicado: (2025)
Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
por: Wang, Huaxin, et al.
Publicado: (2026)
por: Wang, Huaxin, et al.
Publicado: (2026)
Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
por: Chandrasekhar, Swathi, et al.
Publicado: (2025)
por: Chandrasekhar, Swathi, et al.
Publicado: (2025)
Quantum Graph Attention Networks: Trainable Quantum Encoders for Inductive Graph Learning
por: Faria, Arthur M., et al.
Publicado: (2025)
por: Faria, Arthur M., et al.
Publicado: (2025)
Scalable quantum dynamics compilation via quantum machine learning
por: Zhang, Yuxuan, et al.
Publicado: (2024)
por: Zhang, Yuxuan, et al.
Publicado: (2024)
Quantum Shadow Gradient Descent for Variational Quantum Algorithms
por: Heidari, Mohsen, et al.
Publicado: (2023)
por: Heidari, Mohsen, et al.
Publicado: (2023)
Computing exact moments of local random quantum circuits via tensor networks
por: Braccia, Paolo, et al.
Publicado: (2024)
por: Braccia, Paolo, et al.
Publicado: (2024)
Large-scale simulations of Floquet physics on near-term quantum computers
por: Eckstein, Timo, et al.
Publicado: (2023)
por: Eckstein, Timo, et al.
Publicado: (2023)
Deep Circuit Compression for Quantum Dynamics via Tensor Networks
por: Gibbs, Joe, et al.
Publicado: (2024)
por: Gibbs, Joe, et al.
Publicado: (2024)
Variational Quantum Algorithms for Semidefinite Programming
por: Patel, Dhrumil, et al.
Publicado: (2021)
por: Patel, Dhrumil, et al.
Publicado: (2021)
Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
por: Meyer, Nico, et al.
Publicado: (2025)
por: Meyer, Nico, et al.
Publicado: (2025)
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
por: Cunningham, Jack, et al.
Publicado: (2024)
por: Cunningham, Jack, et al.
Publicado: (2024)
Benchmarking Adaptative Variational Quantum Algorithms on QUBO Instances
por: Turati, Gloria, et al.
Publicado: (2023)
por: Turati, Gloria, et al.
Publicado: (2023)
Scalable Quantum Error Mitigation with Neighbor-Informed Learning
por: Chen, Zhenyu, et al.
Publicado: (2025)
por: Chen, Zhenyu, et al.
Publicado: (2025)
Trainability issues in quantum policy gradients
por: Sequeira, André, et al.
Publicado: (2024)
por: Sequeira, André, et al.
Publicado: (2024)
Quantum neural networks form Gaussian processes
por: García-Martín, Diego, et al.
Publicado: (2023)
por: García-Martín, Diego, et al.
Publicado: (2023)
Ejemplares similares
-
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
por: Wang, Samson, et al.
Publicado: (2020) -
Barren Plateaus in Variational Quantum Computing
por: Larocca, Martin, et al.
Publicado: (2024) -
A semi-agnostic ansatz with variable structure for quantum machine learning
por: Bilkis, M., et al.
Publicado: (2021) -
Practical Black Box Hamiltonian Learning
por: Gu, Andi, et al.
Publicado: (2022) -
Improving the efficiency of learning-based error mitigation
por: Czarnik, Piotr, et al.
Publicado: (2022)