Marcin Plodzien's repositories
Quantum-Machine-Learning-Introduction
Lectures on hybrid quantum-classical machine learning given during "VI Pyrenees Winter School Quantum Information Meeting for Barcelona's Community" on 14-17.02.2023, Setcases, Spain
Quantum-State-Tomography-with-Classical-Shadows-from-scratch
A step-by-step implementation of quantum state tomography protocol with classical shadows.
Two-component-Bose-Hubbard-model
Ground state properties of the two-component Bose-Hubbard model in 1D; quantum droplets; Tensor Networks; MPS
Deep-Q-Reinforcement-learning-for-quantum-circuit-compilation-from-Scratch
Educational implementation of a deep Q-learning agent for quantum circuit compilation task
Language:PythonApache-2.0000
Identifying-Chern-numbers-of-superconductors-from-local-measurements-test-dataset
Link to the publication
000
Many-body-quantum-correlations-in-spin-chains
This notes present way for analytical derivation of the correlator detecting many-body Bell correlations
Language:Mathematica000
Neural-Networks-Quantum-and-Classical-Course
Lectures on Machine Learning Quantum and Classical: https://borjarequena.github.io/Neural-Network-Course/
Language:Jupyter NotebookApache-2.0000