Applications of Hybrid Machine Learning Methods to Large Datasets: A Case Study
Fuente:
arXiv
Saved in:
| Main Authors: | Maragkopoulos, G., Stefanakos, N., Mandilara, A., Syvridis, D. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Measurement Device Independent Quantum Key Distribution protocol in the service of three users
by: Stefanakos, N., et al.
Published: (2025)
by: Stefanakos, N., et al.
Published: (2025)
Real-time diagnostics on a QKD link via QBER Time Series Analysis
by: Maragkopoulos, G., et al.
Published: (2024)
by: Maragkopoulos, G., et al.
Published: (2024)
Enhancing the performance of Variational Quantum Classifiers with hybrid autoencoders
by: Maragkopoulos, G., et al.
Published: (2024)
by: Maragkopoulos, G., et al.
Published: (2024)
Quantum-Inspired Unitary Pooling for Multispectral Satellite Image Classification
by: Maragkopoulos, Georgios, et al.
Published: (2026)
by: Maragkopoulos, Georgios, et al.
Published: (2026)
Feature Ranking in Credit-Risk with Qudit-Based Networks
by: Maragkopoulos, Georgios, et al.
Published: (2025)
by: Maragkopoulos, Georgios, et al.
Published: (2025)
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification
by: Komini, Ralntion, et al.
Published: (2026)
by: Komini, Ralntion, et al.
Published: (2026)
Learning kernels with quantum optical circuits
by: Mandilara, A., et al.
Published: (2025)
by: Mandilara, A., et al.
Published: (2025)
Typical Machine Learning Datasets as Low-Depth Quantum Circuits
by: Kiwit, Florian J., et al.
Published: (2025)
by: Kiwit, Florian J., et al.
Published: (2025)
A Systematic Study of Noise Effects in Hybrid Quantum-Classical Machine Learning
by: Bose, Bhavna, et al.
Published: (2026)
by: Bose, Bhavna, et al.
Published: (2026)
Applications of Quantum Machine Learning for Quantitative Finance
by: Mironowicz, Piotr, et al.
Published: (2024)
by: Mironowicz, Piotr, et al.
Published: (2024)
Effectiveness of Hybrid Optimization Method for Quantum Annealing Machines
by: Kikuchi, Shuta, et al.
Published: (2025)
by: Kikuchi, Shuta, et al.
Published: (2025)
Hybrid Method of Efficient Simulation of Physics Applications for a Quantum Computer
by: Rieger, Carla, et al.
Published: (2026)
by: Rieger, Carla, et al.
Published: (2026)
Improving Gradient Methods via Coordinate Transformations: Applications to Quantum Machine Learning
by: Bermejo, Pablo, et al.
Published: (2023)
by: Bermejo, Pablo, et al.
Published: (2023)
Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling
by: Rababah, Bara, et al.
Published: (2025)
by: Rababah, Bara, et al.
Published: (2025)
A Geometric-Aware Perspective and Beyond: Hybrid Quantum-Classical Machine Learning Methods
by: Alavia, Azadeh, et al.
Published: (2025)
by: Alavia, Azadeh, et al.
Published: (2025)
The Transfer Tensor Method: an Analytical Study Case
by: Morillas-Rozas, Marcel, et al.
Published: (2026)
by: Morillas-Rozas, Marcel, et al.
Published: (2026)
Hybrid Oscillator-Qubit Quantum Processors: Instruction Set Architectures, Abstract Machine Models, and Applications
by: Liu, Yuan, et al.
Published: (2024)
by: Liu, Yuan, et al.
Published: (2024)
Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC
by: Fadol, Abdualazem, et al.
Published: (2022)
by: Fadol, Abdualazem, et al.
Published: (2022)
Quantum and Hybrid Machine-Learning Models for Materials-Science Tasks
by: Wang, Leyang, et al.
Published: (2025)
by: Wang, Leyang, et al.
Published: (2025)
Learning Better Error Correction Codes with Hybrid Quantum-Assisted Machine Learning
by: Yanay, Yariv
Published: (2026)
by: Yanay, Yariv
Published: (2026)
Quantum Machine Learning of Molecular Energies with Hybrid Quantum-Neural Wavefunction
by: Li, Weitang, et al.
Published: (2025)
by: Li, Weitang, et al.
Published: (2025)
Machine Learning Enables Optimization of Diamond for Quantum Applications
by: deQuilettes, Dane W., et al.
Published: (2025)
by: deQuilettes, Dane W., et al.
Published: (2025)
Evaluating the Impact of Different Quantum Kernels on the Classification Performance of Support Vector Machine Algorithm: A Medical Dataset Application
by: Akpinar, Emine, et al.
Published: (2024)
by: Akpinar, Emine, et al.
Published: (2024)
Hybrid Quantum-Classical Machine Learning with String Diagrams
by: Koziell-Pipe, Alexander, et al.
Published: (2024)
by: Koziell-Pipe, Alexander, et al.
Published: (2024)
Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits
by: Willow, Soohaeng Yoo, et al.
Published: (2025)
by: Willow, Soohaeng Yoo, et al.
Published: (2025)
Quantum Machine Learning: Quantum Kernel Methods
by: Naguleswaran, Sanjeev
Published: (2024)
by: Naguleswaran, Sanjeev
Published: (2024)
Quantum Mini-Apps for Engineering Applications: A Case Study
by: Mărgărit, Horia, et al.
Published: (2024)
by: Mărgărit, Horia, et al.
Published: (2024)
Quantum Resonant Dimensionality Reduction and Its Application in Quantum Machine Learning
by: Yang, Fan, et al.
Published: (2024)
by: Yang, Fan, et al.
Published: (2024)
Quantum-Train: Rethinking Hybrid Quantum-Classical Machine Learning in the Model Compression Perspective
by: Liu, Chen-Yu, et al.
Published: (2024)
by: Liu, Chen-Yu, et al.
Published: (2024)
Generalization Bounds in Hybrid Quantum-Classical Machine Learning Models
by: Wu, Tongyan, et al.
Published: (2025)
by: Wu, Tongyan, 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)
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)
Entanglement and Classical Simulability in Quantum Extreme Learning Machines
by: De Lorenzis, A., et al.
Published: (2025)
by: De Lorenzis, A., et al.
Published: (2025)
Beyond Bell Teleportation: Machine-Learned Adaptive Protocols
by: Vinod, Krishnajith C, et al.
Published: (2026)
by: Vinod, Krishnajith C, et al.
Published: (2026)
Hybrid Quantum-Classical Machine Learning Algorithms for Multi-Output Time-Series Forecasting at Utility Scale
by: Polché, Mackenson, et al.
Published: (2026)
by: Polché, Mackenson, et al.
Published: (2026)
Harnessing Quantum Extreme Learning Machines for image classification
by: De Lorenzis, A., et al.
Published: (2024)
by: De Lorenzis, A., et al.
Published: (2024)
Optical Extreme Learning Machines with Atomic Vapors
by: Silva, Nuno A., et al.
Published: (2024)
by: Silva, Nuno A., et al.
Published: (2024)
Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
by: Severin, B., et al.
Published: (2021)
by: Severin, B., et al.
Published: (2021)
Explainable Quantum Machine Learning for Multispectral Images Segmentation: Case Study
by: Rybotycki, Tomasz, et al.
Published: (2025)
by: Rybotycki, Tomasz, et al.
Published: (2025)
Application of the Variational R-matrix Method for the Dirac Equation to the Be Atom
by: Greene, Chris H., et al.
Published: (2024)
by: Greene, Chris H., et al.
Published: (2024)
Similar Items
-
A Measurement Device Independent Quantum Key Distribution protocol in the service of three users
by: Stefanakos, N., et al.
Published: (2025) -
Real-time diagnostics on a QKD link via QBER Time Series Analysis
by: Maragkopoulos, G., et al.
Published: (2024) -
Enhancing the performance of Variational Quantum Classifiers with hybrid autoencoders
by: Maragkopoulos, G., et al.
Published: (2024) -
Quantum-Inspired Unitary Pooling for Multispectral Satellite Image Classification
by: Maragkopoulos, Georgios, et al.
Published: (2026) -
Feature Ranking in Credit-Risk with Qudit-Based Networks
by: Maragkopoulos, Georgios, et al.
Published: (2025)