Quantum Machine Learning in Healthcare: Evaluating QNN and QSVM Models
Fuente:
arXiv
Saved in:
| Main Authors: | Tudisco, Antonio, Volpe, Deborah, Turvani, Giovanna |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Multi-VQC: A Novel QML Approach for Enhancing Healthcare Classification
by: Tudisco, Antonio, et al.
Published: (2025)
by: Tudisco, Antonio, et al.
Published: (2025)
Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers
by: Volpe, Deborah, et al.
Published: (2024)
by: Volpe, Deborah, et al.
Published: (2024)
A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
by: Volpe, Deborah, et al.
Published: (2024)
by: Volpe, Deborah, et al.
Published: (2024)
FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)
by: Innan, Nouhaila, et al.
Published: (2024)
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
by: Tudisco, Antonio, et al.
Published: (2025)
by: Tudisco, Antonio, et al.
Published: (2025)
Machine Learning Applications of Quantum Computing: A Review
by: Nguyen, Thien, et al.
Published: (2024)
by: Nguyen, Thien, et al.
Published: (2024)
Generation of Optimized Solidity Code for Machine Learning Models using LLMs
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
by: Sham, Nikumbh Sarthak, et al.
Published: (2025)
Quantum-Assisted Machine Learning Models for Enhanced Weather Prediction
by: Sakhuja, Saiyam, et al.
Published: (2025)
by: Sakhuja, Saiyam, et al.
Published: (2025)
Machine Learning Models for Predicting Smoking-Related Health Decline and Disease Risk
by: Chakma, Vaskar, et al.
Published: (2025)
by: Chakma, Vaskar, et al.
Published: (2025)
Machine Learning for Quantum Noise Reduction
by: Kendre, Karan
Published: (2025)
by: Kendre, Karan
Published: (2025)
Machine Learning-assisted High-speed Combinatorial Optimization with Ising Machines for Dynamically Changing Problems
by: Hamakawa, Yohei, et al.
Published: (2025)
by: Hamakawa, Yohei, et al.
Published: (2025)
Adversarial Robustness in Distributed Quantum Machine Learning
by: Kananian, Pouya, et al.
Published: (2025)
by: Kananian, Pouya, et al.
Published: (2025)
Sparks of Quantum Advantage and Rapid Retraining in Machine Learning
by: Troy, William
Published: (2024)
by: Troy, William
Published: (2024)
Adversarial Quantum Machine Learning: An Information-Theoretic Generalization Analysis
by: Georgiou, Petros, et al.
Published: (2024)
by: Georgiou, Petros, et al.
Published: (2024)
A Quick Introduction to Quantum Machine Learning for Non-Practitioners
by: Evans, Ethan N., et al.
Published: (2024)
by: Evans, Ethan N., et al.
Published: (2024)
IMPLY-based Approximate Full Adders for Efficient Arithmetic Operations in Image Processing and Machine Learning
by: Qiu, Melanie, et al.
Published: (2024)
by: Qiu, Melanie, et al.
Published: (2024)
OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning
by: Montanari, Alessandro, et al.
Published: (2024)
by: Montanari, Alessandro, et al.
Published: (2024)
Q-SCALE: Quantum computing-based Sensor Calibration for Advanced Learning and Efficiency
by: Bergadano, Lorenzo, et al.
Published: (2024)
by: Bergadano, Lorenzo, et al.
Published: (2024)
Trustworthy Tree-based Machine Learning by $MoS_2$ Flash-based Analog CAM with Inherent Soft Boundaries
by: Wen, Bo, et al.
Published: (2025)
by: Wen, Bo, et al.
Published: (2025)
A novel RF-enabled Non-Destructive Inspection Method through Machine Learning and Programmable Wireless Environments
by: Tsimpoukis, Stavros, et al.
Published: (2026)
by: Tsimpoukis, Stavros, et al.
Published: (2026)
An Automated Machine Learning Approach to Inkjet Printed Component Analysis: A Step Toward Smart Additive Manufacturing
by: Sahu, Abhishek, et al.
Published: (2024)
by: Sahu, Abhishek, et al.
Published: (2024)
Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering
by: Pomeroy, Chloe, et al.
Published: (2025)
by: Pomeroy, Chloe, et al.
Published: (2025)
Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment
by: Bieberich, Samuel T., et al.
Published: (2024)
by: Bieberich, Samuel T., et al.
Published: (2024)
Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers
by: Fanariotis, Anastasios, et al.
Published: (2025)
by: Fanariotis, Anastasios, et al.
Published: (2025)
The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning Models
by: Ghosh, Archisman, et al.
Published: (2024)
by: Ghosh, Archisman, et al.
Published: (2024)
Machine Intelligence on Wireless Edge Networks
by: Vadlamani, Sri Krishna, et al.
Published: (2025)
by: Vadlamani, Sri Krishna, et al.
Published: (2025)
EnQode: Fast Amplitude Embedding for Quantum Machine Learning Using Classical Data
by: Han, Jason, et al.
Published: (2025)
by: Han, Jason, et al.
Published: (2025)
Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks
by: Kumaresan, Poornima, et al.
Published: (2026)
by: Kumaresan, Poornima, et al.
Published: (2026)
Quantum Machine Learning for Image Classification: A Hybrid Model of Residual Network with Quantum Support Vector Machine
by: Shahriyar, Md. Farhan, et al.
Published: (2025)
by: Shahriyar, Md. Farhan, et al.
Published: (2025)
Calibration and Evaluation of Car-Following Models for Autonomous Shuttles Using a Novel Multi-Criteria Framework
by: Favero, Renan, et al.
Published: (2026)
by: Favero, Renan, et al.
Published: (2026)
Analyzing Images of Blood Cells with Quantum Machine Learning Methods: Equilibrium Propagation and Variational Quantum Circuits to Detect Acute Myeloid Leukemia
by: Bano, A., et al.
Published: (2026)
by: Bano, A., et al.
Published: (2026)
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
by: Li, Bacui, et al.
Published: (2024)
by: Li, Bacui, et al.
Published: (2024)
On Optimizing Hyperparameters for Quantum Neural Networks
by: Herbst, Sabrina, et al.
Published: (2024)
by: Herbst, Sabrina, et al.
Published: (2024)
Quantum Synthetic Data Generation for Industrial Bioprocess Monitoring
by: Gibford, Shawn M., et al.
Published: (2025)
by: Gibford, Shawn M., et al.
Published: (2025)
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition
by: Chen, Andi, et al.
Published: (2024)
by: Chen, Andi, et al.
Published: (2024)
Quantum Algorithms: A New Frontier in Financial Crime Prevention
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
by: Weinberg, Abraham Itzhak, et al.
Published: (2024)
Quantum-Enhanced Reinforcement Learning for Accelerating Newton-Raphson Convergence with Ising Machines: A Case Study for Power Flow Analysis
by: Kaseb, Zeynab, et al.
Published: (2025)
by: Kaseb, Zeynab, et al.
Published: (2025)
Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
by: Ludmir, Jason Zev, et al.
Published: (2025)
by: Ludmir, Jason Zev, et al.
Published: (2025)
PASS: Certified Subset Repair for Classical and Quantum Pairwise Constrained Clustering
by: Chumpitaz-Flores, Pedro, et al.
Published: (2026)
by: Chumpitaz-Flores, Pedro, et al.
Published: (2026)
Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
by: Schuman, Daniëlle, et al.
Published: (2025)
by: Schuman, Daniëlle, et al.
Published: (2025)
Similar Items
-
Multi-VQC: A Novel QML Approach for Enhancing Healthcare Classification
by: Tudisco, Antonio, et al.
Published: (2025) -
Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers
by: Volpe, Deborah, et al.
Published: (2024) -
A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem
by: Volpe, Deborah, et al.
Published: (2024) -
FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024) -
Graph Neural Network-Based Predictor for Optimal Quantum Hardware Selection
by: Tudisco, Antonio, et al.
Published: (2025)