Theory and interpretability of Quantum Extreme Learning Machines: a Pauli-transfer matrix approach
Fuente:
arXiv
Saved in:
| Main Authors: | Gross, Markus, Rieser, Hans-Martin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kernel-based optimization of measurement operators for quantum reservoir computers
by: Gross, Markus, et al.
Published: (2026)
by: Gross, Markus, et al.
Published: (2026)
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
by: Caro, Matthias C.
Published: (2022)
by: Caro, Matthias C.
Published: (2022)
The Signal Horizon: Local Blindness and the Contraction of Pauli-Weight Spectra in Noisy Quantum Encodings
by: Marwan, Ait Haddou
Published: (2026)
by: Marwan, Ait Haddou
Published: (2026)
Quantum Dynamics of Machine Learning
by: Wang, Peng, et al.
Published: (2024)
by: Wang, Peng, et al.
Published: (2024)
Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)
by: Naguleswaran, Sanjeev
Published: (2024)
Adversarial Robustness in Distributed Quantum Machine Learning
by: Kananian, Pouya, et al.
Published: (2025)
by: Kananian, Pouya, et al.
Published: (2025)
Multiple Embeddings for Quantum Machine Learning
by: Han, Siyu, et al.
Published: (2025)
by: Han, Siyu, et al.
Published: (2025)
Lower Bounds on Learning Pauli Channels with Individual Measurements
by: Fawzi, Omar, et al.
Published: (2023)
by: Fawzi, Omar, et al.
Published: (2023)
Quantum Annealing for Minimum Bisection Problem: A Machine Learning-based Approach for Penalty Parameter Tuning
by: Rusnáková, Renáta, et al.
Published: (2025)
by: Rusnáková, Renáta, et al.
Published: (2025)
Machine Learning for Practical Quantum Error Mitigation
by: Liao, Haoran, et al.
Published: (2023)
by: Liao, Haoran, et al.
Published: (2023)
Entangling Machine Learning with Quantum Tensor Networks
by: van der Poel, Constantijn, et al.
Published: (2024)
by: van der Poel, Constantijn, et al.
Published: (2024)
Limitations of Quantum Advantage in Unsupervised Machine Learning
by: Patel, Apoorva D.
Published: (2025)
by: Patel, Apoorva D.
Published: (2025)
Prospects of Privacy Advantage in Quantum Machine Learning
by: Heredge, Jamie, et al.
Published: (2024)
by: Heredge, Jamie, et al.
Published: (2024)
Exploring Quantum Machine Learning for Weather Forecasting
by: da Silva, Maria Heloísa F., et al.
Published: (2025)
by: da Silva, Maria Heloísa F., et al.
Published: (2025)
Quantum Machine Learning via Contrastive Training
by: Zhukas, Liudmila A., et al.
Published: (2025)
by: Zhukas, Liudmila A., et al.
Published: (2025)
On the Sample Complexity of Quantum Boltzmann Machine Learning
by: Coopmans, Luuk, et al.
Published: (2023)
by: Coopmans, Luuk, et al.
Published: (2023)
Spectral Bias in Variational Quantum Machine Learning
by: Duffy, Callum, et al.
Published: (2025)
by: Duffy, Callum, et al.
Published: (2025)
Understanding Generalization in Quantum Machine Learning with Margins
by: Hur, Tak, et al.
Published: (2024)
by: Hur, Tak, et al.
Published: (2024)
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning
by: Incudini, Massimiliano, et al.
Published: (2022)
by: Incudini, Massimiliano, et al.
Published: (2022)
Quantum Machine Learning Playground
by: Debus, Pascal, et al.
Published: (2025)
by: Debus, Pascal, et al.
Published: (2025)
Theory for Equivariant Quantum Neural Networks
by: Nguyen, Quynh T., et al.
Published: (2022)
by: Nguyen, Quynh T., et al.
Published: (2022)
Efficient Mutation Testing of Quantum Machine Learning Models
by: Andrews, Emma, et al.
Published: (2026)
by: Andrews, Emma, et al.
Published: (2026)
Adapting Quantum Machine Learning for Energy Dissociation of Bonds
by: Chandrasekhar, Swathi, et al.
Published: (2025)
by: Chandrasekhar, Swathi, et al.
Published: (2025)
Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning
by: Gerlach, Thore, et al.
Published: (2025)
by: Gerlach, Thore, et al.
Published: (2025)
Arbitrary Polynomial Separations in Trainable Quantum Machine Learning
by: Anschuetz, Eric R., et al.
Published: (2024)
by: Anschuetz, Eric R., et al.
Published: (2024)
Distributed and Secure Kernel-Based Quantum Machine Learning
by: Swaminathan, Arjhun, et al.
Published: (2024)
by: Swaminathan, Arjhun, et al.
Published: (2024)
Benchmarking Machine Learning Models for Quantum Error Correction
by: Zhao, Yue
Published: (2023)
by: Zhao, Yue
Published: (2023)
AQMLator -- An Auto Quantum Machine Learning E-Platform
by: Rybotycki, Tomasz, et al.
Published: (2024)
by: Rybotycki, Tomasz, et al.
Published: (2024)
A Qubit-Efficient Hybrid Quantum Encoding Mechanism for Quantum Machine Learning
by: Cowlessur, Hevish, et al.
Published: (2025)
by: Cowlessur, Hevish, et al.
Published: (2025)
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
by: Heese, Raoul, et al.
Published: (2023)
by: Heese, Raoul, et al.
Published: (2023)
Partitioned Hybrid Quantum Fourier Neural Operators for Scientific Quantum Machine Learning
by: Marcandelli, Paolo, et al.
Published: (2025)
by: Marcandelli, Paolo, et al.
Published: (2025)
Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage
by: Wang, Maida, et al.
Published: (2025)
by: Wang, Maida, et al.
Published: (2025)
Generalization of Quantum Machine Learning Models Using Quantum Fisher Information Metric
by: Haug, Tobias, et al.
Published: (2023)
by: Haug, Tobias, et al.
Published: (2023)
Quantum Text Classifier -- A Synchronistic Approach Towards Classical and Quantum Machine Learning
by: Santi, Prabhat, et al.
Published: (2023)
by: Santi, Prabhat, et al.
Published: (2023)
Compilation, Optimization, Error Mitigation, and Machine Learning in Quantum Algorithms
by: Wang, Shuangbao Paul, et al.
Published: (2025)
by: Wang, Shuangbao Paul, et al.
Published: (2025)
Detection of Physiological Data Tampering Attacks with Quantum Machine Learning
by: Onim, Md. Saif Hassan, et al.
Published: (2025)
by: Onim, Md. Saif Hassan, et al.
Published: (2025)
A Modified Depolarization Approach for Efficient Quantum Machine Learning
by: Khanal, Bikram, et al.
Published: (2024)
by: Khanal, Bikram, et al.
Published: (2024)
AutoQML: A Framework for Automated Quantum Machine Learning
by: Roth, Marco, et al.
Published: (2025)
by: Roth, Marco, et al.
Published: (2025)
Advances in Machine Learning: Where Can Quantum Techniques Help?
by: Kashyap, Samarth, et al.
Published: (2025)
by: Kashyap, Samarth, et al.
Published: (2025)
Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
by: Alidaee, Bahram, et al.
Published: (2024)
by: Alidaee, Bahram, et al.
Published: (2024)
Similar Items
-
Kernel-based optimization of measurement operators for quantum reservoir computers
by: Gross, Markus, et al.
Published: (2026) -
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
by: Caro, Matthias C.
Published: (2022) -
The Signal Horizon: Local Blindness and the Contraction of Pauli-Weight Spectra in Noisy Quantum Encodings
by: Marwan, Ait Haddou
Published: (2026) -
Quantum Dynamics of Machine Learning
by: Wang, Peng, et al.
Published: (2024) -
Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)