End-to-end agentic quantum-ML pipeline: PennyLane GPU quantum-kernel anomaly detection + LangGraph multi-agent system + locally-hosted Qwen3-14B, benchmarked across network-intrusion, LHC physics, and fraud.

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• Updated Jun 18, 2026
• Python

This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).

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• Updated Jan 14, 2024
• Jupyter Notebook

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.

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• Updated Mar 18, 2024
• Jupyter Notebook

A light, transparent, and modular inference & quantization engine for studying LLMs.

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• Updated Jul 21, 2026
• Python

Implementations of quantum circuits for Quantum Neural Networks with Qutrits

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• Updated Jan 8, 2024
• Jupyter Notebook

Benchmarking quanvolutional neural networks with QCML and Pennylane.

convolutional-neural-networks quantum-machine-learning pennylane quantum-kernel

• Updated Dec 8, 2024
• Jupyter Notebook

QuantumFloor: hybrid quantum-classical ML for early disease detection: quantum kernels benchmarked against matched classical twins, with inference on real IBM Quantum hardware.

react machine-learning healthcare quantum-machine-learning qiskit fastapi ibm-quantum quantum-kernel

• Updated Oct 10, 2026
• Python

Hybrid quantum ML for early detection of oral and breast cancer. Pathway-shaped quantum kernels, run on IBM Heron (ibm_fez), tested against tuned classical models with analysis plans written in advance. Detection AUC 0.98, independent checks in India and Spain. SIH 2026 · SIH26139 · Team Yukthi6G

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• Updated Oct 24, 2026
• TypeScript

Trainable, scalable quantum embedding kernels with variational parameters

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• Updated May 30, 2026
• Python

Hybrid quantum–classical framework for contextual sensor-network representation — IEEE TQE manuscript (in preparation)

ieee research-paper quantum-machine-learning sensor-networks quantum-kernel

• Updated Sep 18, 2026
• TeX

Quantum Robustness Score (QRS): a normalised metric for evaluating noise resilience in Quantum Kernel SVMs on NISQ hardware. Tested across 5 datasets, 3 noise channels, and ~2,000 simulation runs.

research qml quantum-computing ieee support-vector-machines quantum-machine-learning qiskit nisq quantum-kernel

• Updated Jul 3, 2026
• Python

Quantum Kernel Machine Learning for Drug Design A rigorous, end-to-end Qiskit implementation of quantum kernel SVMs for predicting blood-brain barrier permeability (BBBP) — a core ADMET property in CNS drug discovery — with three controlled experiments that actually test whether the quantum part is doing anything useful.

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• Updated Jun 19, 2026
• Python

Modular Python framework for quantum machine learning using PennyLane, including variational classifiers, quantum kernels, and reproducible workflows for hybrid quantum–classical experiments.

machine-learning reproducible-research python-library regression scientific-computing quantum-computing classification numerical-methods quantum-machine-learning pennylane research-tools quantum-kernel hybrid-quantum-classical variational-circuits

• Updated Jun 11, 2026
• Jupyter Notebook

Simulation study: do a fidelity-kernel SVM and a data re-uploading circuit beat tuned and parameter-matched classical models on label-scarce, imbalanced fraud-like data? Learning curves, shot/gate-noise sweep, ablation, Jacobian redundancy diagnostic. 4 qubits, 5 seeds.

benchmarking qml pytorch fraud-detection quantum-machine-learning imbalanced-classification quantum-kernel data-reuploading

• Updated Oct 28, 2026
• Python

A prespecified, matched benchmark of a quantum kernel SVM against classical models for early sepsis warning on PhysioNet 2019 ICU data, with an entanglement control and quantum resource reporting. Qiskit Fall Fest 2026, Quantum Machine Learning track.

benchmark machine-learning healthcare physionet support-vector-machines quantum-machine-learning qiskit sepsis quantum-kernel early-warning

• Updated Oct 28, 2026
• Python

POC: quantum kernel learning research workbench - QSVC with fidelity quantum kernels vs classical SVM baselines, FastAPI + React, built on Qiskit.

qml svm quantum-computing poc quantum-machine-learning qiskit quantum-kernel

• Updated Nov 7, 2026
• TypeScript

POC: comparative benchmark of PennyLane quantum fidelity kernels vs classical kernel SVMs on small datasets.

python benchmark qml svm poc quantum-machine-learning pennylane quantum-kernel

• Updated Nov 7, 2026
• Jupyter Notebook

Assignment as part of M.Sc. Quantum Science & Technology @ Trinity College Dublin.

density-functional-theory quantum-computing quantum-machine-learning variational-quantum-eigensolver quantum-kernel

• Updated Apr 15, 2025
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Quantum machine learning for transient stability assessment of power systems.

quantum-machine-learning quantum-kernel

• Updated Aug 3, 2026
• Jupyter Notebook

Hybrid quantum-classical pipeline for a bank term-deposit campaign: quantum kernel classifier, QAOA customer selection, and a circuit estimate of campaign success (Qiskit)

quantum-computing quantum-machine-learning qiskit qaoa qubo quantum-kernel

• Updated Nov 11, 2026
• Jupyter Notebook