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README
Apress Source Code
This repository accompanies Quantum Machine Learning with Python by Santanu Pattanayak (Apress, 2021).
Download the files as a zip using the green button, or clone the repository to your machine using Git.
Releases
Release v1.0 corresponds to the code in the published book, without corrections or updates.
Contributions
See the file Contributing.md for more information on how you can contribute to this repository.
Core symbols most depended-on inside this repo
↓ 17 filesQuantumPhaseEstimation
Chapter_5/listing5_1/QuantumPhaseEstimation.py
↓ 3 filesQFTQuantum Fourier Transform Builds the QFT circuit iteratively
Chapter_4/listing4_1/quantum_fourier_transform.py
↓ 3 filesQuantumKMeansChapter_5/listing5_4/QuantumKmeans.py
↓ 2 filesQuantumCircuitThe class implements a simple Quantum Block
Chapter_6/listing6_1/QCNN.py
Shape
Languages
Python100%
Modules by API surface
Chapter_6/listing6_2/tfq_mnist.py12 symbols
Chapter_6/listing6_1/QCNN.py12 symbols
Chapter_5/listing5_1/QuantumPhaseEstimation.py11 symbols
Chapter_7/listing7_3/QAOA.py10 symbols
Chapter_5/listing5_4/QuantumKmeans.py9 symbols
Chapter_4/listing4_3/period_finding.py9 symbols
Chapter_4/listing4_1/quantum_fourier_transform.py7 symbols
Chapter_7/listing7_4/quantum_random_walk.py6 symbols
Chapter_7/listing7_2/Max_cut_clustering.py6 symbols
Chapter_5/listing5_5/qsvm_new.py6 symbols
Chapter_5/listing5_1/EigenValueInversion.py6 symbols
Chapter_5/listing5_1/EigenRotation.py6 symbols
For agents
$ claude mcp add quantum-machine-learning-python \
-- python -m otcore.mcp_server <graph>