Cover Image

Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liao, Manwen, Zhu, Yan, Chiribella, Giulio, Yang, Yuxiang
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sequence-Model-Guided Measurement Selection for Quantum State Learning
by: Huang, Jiaxin, et al.
Published: (2025)

Rethink the Role of Neural Decoders in Quantum Error Correction
by: Yan, Ge, et al.
Published: (2026)

Quantum Error Mitigation with Attention Graph Transformers for Burgers Equation Solvers on NISQ Hardware
by: Tousi, Seyed Mohamad Ali, et al.
Published: (2025)

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

Artificial intelligence for representing and characterizing quantum systems
by: Du, Yuxuan, et al.
Published: (2025)

Graph Neural Networks on Quantum Computers
by: Liao, Yidong, et al.
Published: (2024)

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization
by: Wang, Hanrui, et al.
Published: (2021)

Learning quantum properties from short-range correlations using multi-task networks
by: Wu, Ya-Dong, et al.
Published: (2023)

Sporadic Federated Learning Approach in Quantum Environment to Tackle Quantum Noise
by: Rahman, Ratun, et al.
Published: (2025)

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)

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

Neural Minimum Weight Perfect Matching for Quantum Error Codes
by: Peled, Yotam, et al.
Published: (2026)

Identification and Mitigating Bias in Quantum Machine Learning
by: Swaminathan, Nandhini, et al.
Published: (2024)

QiNN-QJ: A Quantum-inspired Neural Network with Quantum Jump for Multimodal Sentiment Analysis
by: Chen, Yiwei, et al.
Published: (2025)

ConQuER: Modular Architectures for Control and Bias Mitigation in IQP Quantum Generative Models
by: Zou, Xiaocheng, et al.
Published: (2025)

ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks
by: Afane, Mohamed, et al.
Published: (2025)

Diagonal Adaptive Non-local Observables on Quantum Neural Networks
by: Tseng, Huan-Hsin, et al.
Published: (2026)

Constructing Optimal Noise Channels for Enhanced Robustness in Quantum Machine Learning
by: Winderl, David, et al.
Published: (2024)

TabularQGAN: A Quantum Generative Model for Tabular Data
by: Bhardwaj, Pallavi, et al.
Published: (2025)

Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
by: Jaouni, Tareq, et al.
Published: (2023)

The Role of Quantum in Hybrid Quantum-Classical Neural Networks: A Realistic Assessment
by: Freinberger, Dominik, et al.
Published: (2026)

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement
by: Alexander, Yotam, et al.
Published: (2023)

Quantum Circuit-Based Learning Models: Bridging Quantum Computing and Machine Learning
by: Fan, Fan, et al.
Published: (2026)

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

SQUASH: A SWAP-Based Quantum Attack to Sabotage Hybrid Quantum Neural Networks
by: Kumar, Rahul, et al.
Published: (2025)

Single-Qudit Quantum Neural Networks for Multiclass Classification
by: Souza, Leandro C., et al.
Published: (2025)

Adaptive Non-local Observable on Quantum Neural Networks
by: Lin, Hsin-Yi, et al.
Published: (2025)

Regression and Classification with Single-Qubit Quantum Neural Networks
by: Souza, Leandro C., et al.
Published: (2024)

Financial Fraud Detection using Quantum Graph Neural Networks
by: Innan, Nouhaila, et al.
Published: (2023)

Feature Entanglement-based Quantum Multimodal Fusion Neural Network
by: Wu, Yu, et al.
Published: (2026)

Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
by: Gu, Andi, et al.
Published: (2026)

Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
by: Hasan, Mohammad Junayed, et al.
Published: (2023)

Machine Learning and Quantum Intelligence for Health Data Scenarios
by: Naguleswaran, Sanjeev
Published: (2024)

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

Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
by: Kölle, Michael, et al.
Published: (2025)

Meta-Learning for Quantum Optimization via Quantum Sequence Model
by: Lin, Yu-Cheng, et al.
Published: (2025)

Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images
by: Chang, Su Yeon, et al.
Published: (2023)

Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
by: Xu, Yang, et al.
Published: (2025)

Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
by: Kamei, Suzukaze, et al.
Published: (2025)

Multi-Scale Feature Fusion Quantum Depthwise Convolutional Neural Networks for Text Classification
by: Chen, Yixiong, et al.
Published: (2024)