Quantum Machine Learning
A curated collection of quantum / quantum-inspired machine learning papers, with a strong focus on medical and healthcare applications, plus security, new architectures, and other domains.
📌 This repo is mainly for reading notes, idea mining, and future research directions.
https://www.notion.so/Knowledge-from-Papers-2a570e4d05c0806e858aff06b885cc31
English
This repository collects research papers at the intersection of quantum computing, machine learning, and real-world applications, especially in medicine and healthcare.
The goal is to build a structured reading list that can be extended over time, serving as a personal knowledge base and a quick reference for future projects.
- 🌍 About This Repository
- 🏷️ Tag Legend
- 🩺 I. Medical & Healthcare
- 🧮 II. New Deep Learning Algorithms
- 🌐 III. New Quantum Networks
- 🛡️ IV. Security
- 🔭 V. Other Fields
- 🤝 Contributing / Future Work
- 🩺 Medical / Healthcare
- 🧬 Bio / Omics / Drug Discovery
- 🧮 Algorithm / Theory / Method
- 📊 Survey / Review
- 🛡️ Security / Robustness
- ⚙️ Framework / Tools
- 🌞 Energy / Forecasting
- 🧪 Application Paper
- 🧱 Post-Quantum / Crypto / Security
Papers focusing on medical imaging, diagnosis, biomarker prediction, healthcare analytics, and related topics.
- 🧬 Amino acid sequence-based IDR classification using ensemble machine learning and quantum neural networks
- 🧮 High rate discretely-modulated
- 🧮 Linearized quantum lattice
- 🩺🧬 Multi-omic and quantum machine learning integration for lung subtypes classification - ScienceDirect
- 🧪 Perovskite quantum dot-based fluores
- 🩺 Quantum and classical machine learning for the classification of non-small-cell lung cancer patients
- ⚙️ TorchQC - A framework for efficiently integrating machine and deep learning methods in quantum dynamics and control
- 🧱 A practical multi-layered framework for post-quantum secure machine learning
- 🩺 A quantum-inspired medical scalable convolutional neural network for intelligent pneumonia diagnosis
- 🩺🧮 Enhanced Deep Learning and Quantum Variational Classifier for Large-Scale Data Analysis
- 🩺 Enhancing emotional response detection in virtual reality with quantum support vector machine learning
- 🧬 Quantum neural networks meet federated learning for DNA mutation prediction
- 🩺 noninvasive estimation
- 🩺 Machine learning-assisted carbon quantum dots–molecularly imprinted polymer array for synchronous screening of multiple sulfonamides
- 🩺📊 Quantum-enhanced predictive analytics in healthcare: benchmarking QSVM and QNN on medical datasets
- 📊 Quantum machine learning algorithms for anomaly detection: A review
- 📊🩺 Quantum machine learning in medical image analysis: A survey
- 🩺 Noninvasive estimation of blood glucose and HbA1c using Quantum Machine Learning technique
- 🧬 Quantum intelligence in drug discovery: Advancing insights with quantum machine learning
- 🩺 Enhancing quantum support vector machine for healthcare applications using custom feature maps
- 🩺🧠 Quantum-inspired adaptive feature fusion for highly accurate brain tumor classification in MRI using deep learning
- 🩺🌍 Optimizing biomedical waste generation modeling using quantum machine learning and economic development indicators
More on methods, theory, and new learning paradigms, some still connected to medical / healthcare use cases.
- 🧮 Quantum inspired kernel matrices: Exploring symmetry in machine learning
- 🧮🩺 Fuzzy quantum machine learning (FQML) logic for optimized disease prediction
- 📊 Quantum machine learning: Classifications, challenges, and solutions
- 🛡️🧮 A privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning
- ⏳ TODO: Add link & reading notes when available.
Architectures and networks that incorporate quantum-inspired structures.
Quantum-related methods for attacks, robustness, and security.
Applications of quantum machine learning beyond healthcare.
- 📌 Add short one–two line summaries for each paper (in EN or VI).
- 📌 Group papers by:
- Dataset type (tabular, imaging, omics, signals)
- Quantum model type (QSVM, QNN, hybrid models, quantum kernels…)
- Application domain (diagnosis, prognosis, biomarker detection, drug discovery, security, energy, etc.)