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hybrid-quantum-classical

Here are 15 public repositories matching this topic...

Hybrid Quantum–Classical model for brain tumor classification using Quantum FiLM modulation and ResNet-18. Supports multi-class MRI tumor detection with quantum circuit integration.

  • Updated Dec 15, 2025
  • Python

Hybrid Quantum-Classical Genomics Knowledge Graph Model using Google Cirq. Integrates Variational Quantum Circuits (VQC) and the Dynamic Mixture of Recursions (MoR) paradigm with classical Deep Learning to analyze complex genomic structures and expression data.

  • Updated Apr 5, 2026
  • Jupyter Notebook

Python toolkit for Quantum Singular Value Transformation (QSVT), including polynomial constructions, matrix function workflows, and reproducible tools for research in quantum algorithms and numerical linear algebra.

  • Updated Apr 16, 2026
  • Jupyter Notebook

Hybrid Quantum–Classical Neural Network (QCNN) for automated brain tumour detection using MRI images. Combines EfficientNet-B0 feature extraction with a 4-qubit PennyLane quantum layer and includes a Gradio-based prediction interface.

  • Updated Mar 3, 2026
  • Python

Python framework for portfolio optimisation using Variational Quantum Eigensolver (VQE), supporting QUBO formulations, constrained optimisation, and reproducible workflows for hybrid quantum–classical finance experiments.

  • Updated Apr 18, 2026
  • Jupyter Notebook

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

  • Updated Apr 18, 2026
  • Jupyter Notebook

Python toolkit for Variational Quantum Eigensolver (VQE), QPE, and QITE workflows for quantum chemistry simulations using PennyLane, supporting reproducible hybrid quantum–classical experiments, using PennyLane.

  • Updated Apr 20, 2026
  • Python

Amazon Braket is a fully managed quantum computing service that helps researchers and developers explore and build quantum algorithms, test them on quantum circuit simulators, and run them on different quantum hardware technologies. Braket provides access to multiple quantum processors from IonQ, Rigetti, QuEra, Oxford Quantum Circuits, and IQM,...

  • Updated Apr 19, 2026

🧠 Classify brain tumors using a hybrid QCNN with ResNet for accurate MRI image analysis across multiple categories, including no tumor detection.

  • Updated Apr 20, 2026
  • Python

🧠 Detect brain tumors using a hybrid Quantum + Classical model with MRI images, enhancing accuracy and efficiency in diagnosis through advanced AI.

  • Updated Apr 20, 2026
  • Python

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