Quantum Computing Lab Notebooks
Hands-on open quantum computing classes and Jupyter notebooks covering quantum circuits, algorithms, and simulation.
Quantum Computing Lab Notebooks
Comprehensive, open-access laboratory notebooks designed for students and researchers exploring fundamental and intermediate quantum computation, circuit composition, quantum algorithms, and introductory quantum machine learning.
📌 Covered Topics
- Quantum Fundamentals: Superposition, entanglement, Bell state verification, and quantum teleportation.
- Quantum Algorithms: Deutsch-Jozsa, Grover search algorithm, and Quantum Phase Estimation (QPE).
- Quantum Machine Learning: Quantum feature encoding, parameterised circuits, and variational state classification.