Quantum Maximum Likelihood Prediction via Hilbert Space Embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Sreekumar, Sreejith, Weinberger, Nir |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Performance Guarantees for Quantum Neural Estimation of Entropies
by: Sreekumar, Sreejith, et al.
Published: (2025)
by: Sreekumar, Sreejith, et al.
Published: (2025)
Quantum Neural Estimation of Entropies
by: Goldfeld, Ziv, et al.
Published: (2023)
by: Goldfeld, Ziv, et al.
Published: (2023)
Limit Distribution Theory for Quantum Divergences
by: Sreekumar, Sreejith, et al.
Published: (2023)
by: Sreekumar, Sreejith, et al.
Published: (2023)
One-shot Multiple Access Channel Simulation
by: Nema, Aditya, et al.
Published: (2024)
by: Nema, Aditya, et al.
Published: (2024)
Distributed Quantum Hypothesis Testing under Zero-rate Communication Constraints
by: Sreekumar, Sreejith, et al.
Published: (2024)
by: Sreekumar, Sreejith, et al.
Published: (2024)
A representation-learning game for classes of prediction tasks
by: Uzan, Neria, et al.
Published: (2024)
by: Uzan, Neria, et al.
Published: (2024)
Exploration-Exploitation Tradeoff in Universal Lossy Compression
by: Weinberger, Nir, et al.
Published: (2025)
by: Weinberger, Nir, et al.
Published: (2025)
Quantum Speedup for Polar Maximum Likelihood Decoding
by: Fujiwara, Shintaro, et al.
Published: (2024)
by: Fujiwara, Shintaro, et al.
Published: (2024)
Generalization Bounds for Quantum Learning via Rényi Divergences
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
Maximum Likelihood Quantum Error Mitigation for Algorithms with a Single Correct Output
by: Baron, Dror, et al.
Published: (2024)
by: Baron, Dror, et al.
Published: (2024)
Vehicle Routing Problems via Quantum Graph Attention Network Deep Reinforcement Learning
by: Giang, Le Tung, et al.
Published: (2025)
by: Giang, Le Tung, et al.
Published: (2025)
Normalized Maximum Likelihood Code-Length on Riemannian Data Spaces
by: Fukuzawa, Kota, et al.
Published: (2025)
by: Fukuzawa, Kota, et al.
Published: (2025)
Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection
by: Ubale, Rushikesh, et al.
Published: (2025)
by: Ubale, Rushikesh, et al.
Published: (2025)
Quantum Doeblin Coefficients: Interpretations and Applications
by: George, Ian, et al.
Published: (2025)
by: George, Ian, et al.
Published: (2025)
Quantum Information Ordering and Differential Privacy
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
by: Warsi, Naqueeb Ahmad, et al.
Published: (2025)
Quantum-Enhanced Neural Contextual Bandit Algorithms
by: Huang, Yuqi, et al.
Published: (2026)
by: Huang, Yuqi, et al.
Published: (2026)
Equivalence of Privacy and Stability with Generalization Guarantees in Quantum Learning
by: Dasgupta, Ayanava, et al.
Published: (2026)
by: Dasgupta, Ayanava, et al.
Published: (2026)
New Bounds on Quantum Sample Complexity of Measurement Classes
by: Heidari, Mohsen, et al.
Published: (2024)
by: Heidari, Mohsen, et al.
Published: (2024)
Decoding Quantum LDPC Codes Using Graph Neural Networks
by: Ninkovic, Vukan, et al.
Published: (2024)
by: Ninkovic, Vukan, et al.
Published: (2024)
Deviation Inequalities for Rényi Divergence Estimators via Variational Expression
by: Sreekumar, Sreejith, et al.
Published: (2025)
by: Sreekumar, Sreejith, et al.
Published: (2025)
Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries
by: Heidari, Mohsen, et al.
Published: (2024)
by: Heidari, Mohsen, et al.
Published: (2024)
Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes
by: Mi, Xiangjun, et al.
Published: (2025)
by: Mi, Xiangjun, et al.
Published: (2025)
HyperNQ: A Hypergraph Neural Network Decoder for Quantum LDPC Codes
by: Bhave, Ameya S., et al.
Published: (2025)
by: Bhave, Ameya S., et al.
Published: (2025)
Sample Complexity of Composite Quantum Hypothesis Testing
by: Simpson, Jacob Paul, et al.
Published: (2026)
by: Simpson, Jacob Paul, et al.
Published: (2026)
Query Complexity of Classical and Quantum Channel Discrimination
by: Nuradha, Theshani, et al.
Published: (2025)
by: Nuradha, Theshani, et al.
Published: (2025)
Information-Theoretic Limits of Quantum Learning via Data Compression
by: Angrisani, Armando, et al.
Published: (2021)
by: Angrisani, Armando, et al.
Published: (2021)
Characterization of the Distortion-Perception Tradeoff for Finite Channels with Arbitrary Metrics
by: Freirich, Dror, et al.
Published: (2024)
by: Freirich, Dror, et al.
Published: (2024)
Statistical Complexity of Quantum Learning
by: Banchi, Leonardo, et al.
Published: (2023)
by: Banchi, Leonardo, et al.
Published: (2023)
Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference
by: Nikoloska, Ivana, et al.
Published: (2025)
by: Nikoloska, Ivana, et al.
Published: (2025)
Foundation of Calculating Normalized Maximum Likelihood for Continuous Probability Models
by: Suzuki, Atsushi, et al.
Published: (2024)
by: Suzuki, Atsushi, et al.
Published: (2024)
Contraction of Private Quantum Channels and Private Quantum Hypothesis Testing
by: Nuradha, Theshani, et al.
Published: (2024)
by: Nuradha, Theshani, et al.
Published: (2024)
Quantum Pufferfish Privacy: A Flexible Privacy Framework for Quantum Systems
by: Nuradha, Theshani, et al.
Published: (2023)
by: Nuradha, Theshani, et al.
Published: (2023)
Comparing Quantum Encoding Techniques
by: Munikote, Nidhi
Published: (2024)
by: Munikote, Nidhi
Published: (2024)
Noisy Quantum Learning Theory
by: Cotler, Jordan, et al.
Published: (2025)
by: Cotler, Jordan, et al.
Published: (2025)
Maximal-Capacity Discrete Memoryless Channel Identification
by: Egger, Maximilian, et al.
Published: (2024)
by: Egger, Maximilian, et al.
Published: (2024)
Variational Quantum Integrated Sensing and Communication
by: Nikoloska, Ivana, et al.
Published: (2025)
by: Nikoloska, Ivana, et al.
Published: (2025)
Privacy-Utility Tradeoffs in Quantum Information Processing
by: Nuradha, Theshani, et al.
Published: (2026)
by: Nuradha, Theshani, et al.
Published: (2026)
Transition Role of Entangled Data in Quantum Machine Learning
by: Wang, Xinbiao, et al.
Published: (2023)
by: Wang, Xinbiao, et al.
Published: (2023)
Neural Minimum Weight Perfect Matching for Quantum Error Codes
by: Peled, Yotam, et al.
Published: (2026)
by: Peled, Yotam, et al.
Published: (2026)
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
by: Hu, Hong-Ye, et al.
Published: (2024)
by: Hu, Hong-Ye, et al.
Published: (2024)
Similar Items
-
Performance Guarantees for Quantum Neural Estimation of Entropies
by: Sreekumar, Sreejith, et al.
Published: (2025) -
Quantum Neural Estimation of Entropies
by: Goldfeld, Ziv, et al.
Published: (2023) -
Limit Distribution Theory for Quantum Divergences
by: Sreekumar, Sreejith, et al.
Published: (2023) -
One-shot Multiple Access Channel Simulation
by: Nema, Aditya, et al.
Published: (2024) -
Distributed Quantum Hypothesis Testing under Zero-rate Communication Constraints
by: Sreekumar, Sreejith, et al.
Published: (2024)