Tetra-AML: Automatic Machine Learning via Tensor Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Naumov, A., Melnikov, Ar., Abronin, V., Oxanichenko, F., Izmailov, K., Pflitsch, M., Melnikov, A., Perelshtein, M. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TQCompressor: improving tensor decomposition methods in neural networks via permutations
by: Abronin, V., et al.
Published: (2024)
by: Abronin, V., et al.
Published: (2024)
Tensor networks based quantum optimization algorithm
by: Akshay, V., et al.
Published: (2024)
by: Akshay, V., et al.
Published: (2024)
Tensor Quantum Programming
by: Termanova, A., et al.
Published: (2024)
by: Termanova, A., et al.
Published: (2024)
Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes
by: Sedykh, Alexandr, et al.
Published: (2023)
by: Sedykh, Alexandr, et al.
Published: (2023)
Hybrid quantum cycle generative adversarial network for small molecule generation
by: Anoshin, Matvei, et al.
Published: (2023)
by: Anoshin, Matvei, et al.
Published: (2023)
Comparison between Tensor Networks and Variational Quantum Classifier
by: Laskaris, Georgios, et al.
Published: (2023)
by: Laskaris, Georgios, et al.
Published: (2023)
Photovoltaic power forecasting using quantum machine learning
by: Sagingalieva, Asel, et al.
Published: (2023)
by: Sagingalieva, Asel, et al.
Published: (2023)
Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks
by: Kyriacou, Basil, et al.
Published: (2026)
by: Kyriacou, Basil, et al.
Published: (2026)
Information plane and compression-gnostic feedback in quantum machine learning
by: Haboury, Nathan, et al.
Published: (2024)
by: Haboury, Nathan, et al.
Published: (2024)
Soft-Quantum Algorithms
by: Kyriacou, Basil, et al.
Published: (2026)
by: Kyriacou, Basil, et al.
Published: (2026)
Method for noise-induced regularization in quantum neural networks
by: Kuzmin, Viacheslav, et al.
Published: (2024)
by: Kuzmin, Viacheslav, et al.
Published: (2024)
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)
Superposed parameterised quantum circuits
by: Patapovich, Viktoria, et al.
Published: (2025)
by: Patapovich, Viktoria, et al.
Published: (2025)
Forecasting steam mass flow in power plants using the parallel hybrid network
by: Kurkin, Andrii, et al.
Published: (2023)
by: Kurkin, Andrii, et al.
Published: (2023)
Tensor Networks for Explainable Machine Learning in Cybersecurity
by: Aizpurua, Borja, et al.
Published: (2023)
by: Aizpurua, Borja, et al.
Published: (2023)
Quantum machine learning for image classification
by: Senokosov, Arsenii, et al.
Published: (2023)
by: Senokosov, Arsenii, et al.
Published: (2023)
Quantum-Classical Machine learning by Hybrid Tensor Networks
by: Liu, Ding, et al.
Published: (2020)
by: Liu, Ding, et al.
Published: (2020)
Hybrid quantum recurrent neural network for remaining useful life prediction
by: Tsurkan, Olga, et al.
Published: (2025)
by: Tsurkan, Olga, et al.
Published: (2025)
TQml Simulator: optimized simulation of quantum machine learning
by: Kuzmin, Viacheslav, et al.
Published: (2025)
by: Kuzmin, Viacheslav, et al.
Published: (2025)
Pre-training Tensor-Train Networks Facilitates Machine Learning with Variational Quantum Circuits
by: Qi, Jun, et al.
Published: (2023)
by: Qi, Jun, et al.
Published: (2023)
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
by: Lee, Nayoung, et al.
Published: (2025)
by: Lee, Nayoung, et al.
Published: (2025)
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials on organic and inorganic compounds
by: Laskaris, G., et al.
Published: (2026)
by: Laskaris, G., et al.
Published: (2026)
tn4ml: Tensor Network Training and Customization for Machine Learning
by: Puljak, Ema, et al.
Published: (2025)
by: Puljak, Ema, et al.
Published: (2025)
Tensor networks for quantum computing
by: Berezutskii, Aleksandr, et al.
Published: (2025)
by: Berezutskii, Aleksandr, et al.
Published: (2025)
A Tutorial on Knots and Quantum Mechanics
by: Melnikov, Dmitry
Published: (2025)
by: Melnikov, Dmitry
Published: (2025)
Improving Quantum Machine Learning via Heat-Bath Algorithmic Cooling
by: Rodríguez-Briones, Nayeli A., et al.
Published: (2025)
by: Rodríguez-Briones, Nayeli A., et al.
Published: (2025)
Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer
by: Papierz, Mateusz, et al.
Published: (2026)
by: Papierz, Mateusz, et al.
Published: (2026)
No-Free-Lunch Theories for Tensor-Network Machine Learning Models
by: Wu, Jing-Chuan, et al.
Published: (2024)
by: Wu, Jing-Chuan, et al.
Published: (2024)
A Multivariate Statistical Framework for Detection, Classification and Pre-localization of Anomalies in Water Distribution Networks
by: Melnikov, Oleg, et al.
Published: (2025)
by: Melnikov, Oleg, et al.
Published: (2025)
Explaining Anomalies with Tensor Networks
by: Hohenfeld, Hans, et al.
Published: (2025)
by: Hohenfeld, Hans, et al.
Published: (2025)
Noise Models Impacts and Mitigation Strategies in Photonic Quantum Machine Learning
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
by: Alagiyawanna, A. M. A. S. D., et al.
Published: (2026)
Automatic re-calibration of quantum devices by reinforcement learning
by: Crosta, T., et al.
Published: (2024)
by: Crosta, T., et al.
Published: (2024)
Generative Learning of Continuous Data by Tensor Networks
by: Meiburg, Alex, et al.
Published: (2023)
by: Meiburg, Alex, et al.
Published: (2023)
Tensor Network Estimation of Distribution Algorithms
by: Gardiner, John, et al.
Published: (2024)
by: Gardiner, John, et al.
Published: (2024)
Quantum Machine Learning via Contrastive Training
by: Zhukas, Liudmila A., et al.
Published: (2025)
by: Zhukas, Liudmila A., et al.
Published: (2025)
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 Large Language Models via Tensor Network Disentanglers
by: Aizpurua, Borja, et al.
Published: (2024)
by: Aizpurua, Borja, et al.
Published: (2024)
Tensor-Networks-based Learning of Probabilistic Cellular Automata Dynamics
by: Casagrande, Heitor P., et al.
Published: (2024)
by: Casagrande, Heitor P., et al.
Published: (2024)
Application of Quantum Tensor Networks for Protein Classification
by: Kundu, Debarshi, et al.
Published: (2024)
by: Kundu, Debarshi, et al.
Published: (2024)
Inductive Graph Representation Learning with Quantum Graph Neural Networks
by: Faria, Arthur M., et al.
Published: (2025)
by: Faria, Arthur M., et al.
Published: (2025)
Similar Items
-
TQCompressor: improving tensor decomposition methods in neural networks via permutations
by: Abronin, V., et al.
Published: (2024) -
Tensor networks based quantum optimization algorithm
by: Akshay, V., et al.
Published: (2024) -
Tensor Quantum Programming
by: Termanova, A., et al.
Published: (2024) -
Hybrid quantum physics-informed neural networks for simulating computational fluid dynamics in complex shapes
by: Sedykh, Alexandr, et al.
Published: (2023) -
Hybrid quantum cycle generative adversarial network for small molecule generation
by: Anoshin, Matvei, et al.
Published: (2023)