quantum-machine-learning
Variational quantum algorithms for optimization and machine learning, including QAOA for combinatorial optimization, VQE for ground-state energy estimation, QNN and VQC for supervised learning with parameterized quantum circuits, and QCBM for generative modeling of discrete probability distributions.
Resources
5Install
npx skillscat add unitarylab/quantum-skills/quantum-machine-learning Install via the SkillsCat registry.
SKILL.md
Quantum Machine Learning Algorithms
1. Quantum Approximate Optimization Algorithm
See reference: ./qaoa/SKILL.md
2. Quantum Circuit Born Machine
See reference: ./qcbm/SKILL.md
3. Quantum Neural Network
See reference: ./qnn/SKILL.md
4. Variational Quantum Classifier
See reference: ./vqc/SKILL.md
5. Variational Quantum Eigensolver
See reference: ./vqe/SKILL.md