Copertina

Scalable Neural Decoders for Practical Real-Time Quantum Error Correction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lee, Changwon, Hur, Tak, Park, Daniel K.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Quantum Physics Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Understanding Generalization in Quantum Machine Learning with Margins
di: Hur, Tak, et al.
Pubblicazione: (2024)

Optimizing Quantum Convolutional Neural Network Architectures for Arbitrary Data Dimension
di: Lee, Changwon, et al.
Pubblicazione: (2024)

Generative Krylov Subspace Representations for Scalable Quantum Eigensolvers
di: Lee, Changwon, et al.
Pubblicazione: (2025)

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

Multi-channel convolutional neural quantum embedding
di: Kim, Yujin, et al.
Pubblicazione: (2025)

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

A Cryogenic Memristive Neural Decoder for Fault-tolerant Quantum Error Correction
di: Yon, Victor, et al.
Pubblicazione: (2023)

Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks
di: Wang, Huaxin, et al.
Pubblicazione: (2026)

Neural Quantum Embedding: Pushing the Limits of Quantum Supervised Learning
di: Hur, Tak, et al.
Pubblicazione: (2023)

Sparse Mamba Decoder for Quantum Error Correction: Efficient Defect-Centric Processing of Surface Code Syndromes
di: Sayedsalehi, Samira, et al.
Pubblicazione: (2026)

Machine Learning for Practical Quantum Error Mitigation
di: Liao, Haoran, et al.
Pubblicazione: (2023)

Learning Logical Operations for Arbitrary Quantum Error Correction Codes
di: Meyer, Nico, et al.
Pubblicazione: (2026)

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction
di: Meyer, Nico, et al.
Pubblicazione: (2025)

QGEC : Quantum Golay Code Error Correction
di: Mukai, Hideo, et al.
Pubblicazione: (2025)

Enhancing Quantum Memory Lifetime with Measurement-Free Local Error Correction and Reinforcement Learning
di: Park, Mincheol, et al.
Pubblicazione: (2024)

Maximum Likelihood Decoding of Quantum Error Correction Codes
di: Cao, Hanyan, et al.
Pubblicazione: (2026)

Benchmarking Machine Learning Models for Quantum Error Correction
di: Zhao, Yue
Pubblicazione: (2023)

Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning
di: Su, Vincent Paul, et al.
Pubblicazione: (2023)

Scalable Quantum Error Mitigation with Neighbor-Informed Learning
di: Chen, Zhenyu, et al.
Pubblicazione: (2025)

Generative Quantum Data Embeddings for Supervised Learning
di: Heo, Jaewoong, et al.
Pubblicazione: (2026)

DGR: Tackling Drifted and Correlated Noise in Quantum Error Correction via Decoding Graph Re-weighting
di: Wang, Hanrui, et al.
Pubblicazione: (2023)

Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations
di: Chen, Yuan, et al.
Pubblicazione: (2025)

Enhancing the Scalability of Classical Surrogates for Real-World Quantum Machine Learning Applications
di: Hernicht, Philip Anton, et al.
Pubblicazione: (2025)

Practical Hybrid Quantum Language Models with Observable Readout on Real Hardware
di: Balauca, Stefan, et al.
Pubblicazione: (2025)

Density Matrix Emulation of Quantum Recurrent Neural Networks for Multivariate Time Series Prediction
di: Viqueira, José Daniel, et al.
Pubblicazione: (2023)

Deep Learning Approaches to Quantum Error Mitigation
di: Placidi, Leonardo, et al.
Pubblicazione: (2026)

Quantum Pointwise Convolution: A Flexible and Scalable Approach for Neural Network Enhancement
di: Ning, An, et al.
Pubblicazione: (2024)

Neural quantum support vector data description for one-class classification
di: Im, Changjae, et al.
Pubblicazione: (2026)

Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
di: Rodríguez-Briones, Nayeli A., et al.
Pubblicazione: (2025)

Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction
di: Zhang, Kai, et al.
Pubblicazione: (2026)

Quantum Neural Networks in Practice: A Comparative Study with Classical Models from Standard Data Sets to Industrial Images
di: Basilewitsch, Daniel, et al.
Pubblicazione: (2024)

Neural Quantum Spectral Operator Learning for Solving Partial Differential Equations
di: Kim, Chanyoung, et al.
Pubblicazione: (2026)

Reachability Constraints in Variational Quantum Circuits: Optimization within Polynomial Group Module
di: Oh, Yun-Tak, et al.
Pubblicazione: (2026)

Decoding Quantum LDPC Codes Using Graph Neural Networks
di: Ninkovic, Vukan, et al.
Pubblicazione: (2024)

Re-uploading quantum data: A universal function approximator for quantum inputs
di: Cha, Hyunho, et al.
Pubblicazione: (2025)

Decoder Switching: Breaking the Speed-Accuracy Tradeoff in Real-Time Quantum Error Correction
di: Toshio, Riki, et al.
Pubblicazione: (2025)

Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
di: Mi, Xiangjun, et al.
Pubblicazione: (2025)

SimQFL: A Quantum Federated Learning Simulator with Real-Time Visualization
di: Rahman, Ratun, et al.
Pubblicazione: (2025)

Noise-Agnostic Quantum Error Mitigation with Data Augmented Neural Models
di: Liao, Manwen, et al.
Pubblicazione: (2023)

Multi-Mode Quantum Annealing for Generative Representation Learning with Boltzmann Priors
di: Kim, Gilhan, et al.
Pubblicazione: (2026)