Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Q-Synapse: A Hybrid Quantum–AI Platform for Tumor State Classification Using Real Genomic Data

Ndenga Lumbu Barack

Published Jan 1, 2025• 0 citations
Publisher
DOI
10.2139/ssrn.5773342

Related papers

Beyond Limits: Charting New Horizons in Glioma Tumor Classification Through Hybrid Quantum Computing with the Cancer Genome Atlas (TCGA) Data

Emine Akpinar, Murat Oduncuoğlu

•Jan 1, 2024•3 citations

Hybrid Quantum Model for Brain Tumor Classification

Sergio Ramos-Villena, Carlos E. Atencio-Torres, José Eduardo Ochoa-Luna

Communications in computer and information science•Jan 1, 2025•0 citations

A Hybrid Classical-Quantum Machine Learning Framework for Tumor Mutation Classification: A Comprehensive Study of Quantum Optimizers in Medical Image Analysis

Md Jobair Hossain Faruk, Md Kamrul Siam, Jerry Q. Cheng +3 more

IEEE International Conference on Healthcare Informatics (ICHI)•Jun 1, 2026•0 citations

Hybrid Quantum-Classical Approach for MRI-Based Brain Tumor Detection and Classification

Harra Nayak, Mahek Trevadia, Reet Dengle +1 more

Control Instrumentation System Conference (CISCON)•Aug 1, 2025•0 citations

A hybrid quantum-classical neural network framework for genomic sequence classification

Riya Bansal, Nikhil Kumar Rajput, Megha Khanna

Neurocomputing•May 9, 2026•0 citations

Reinforcement Learning-Guided Adaptive Fusion Model: Hybrid-Parametrized Quantum Circuits for Robust Histopathological Tumor Classification

Md Jobair Hossain Faruk, Md Kamrul Siam, Jerry Q. Cheng +3 more

IEEE International Conference on Healthcare Informatics (ICHI)•Jun 1, 2026•1 citation