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.ipynb_checkpoints
.ipynb_checkpoints
 
 
classifiers
classifiers
 
 
datasets
datasets
 
 
diamonds
diamonds
 
 
movie_dd_NV0_Cpx
movie_dd_NV0_Cpx
 
 
new_diamonds
new_diamonds
 
 
results
results
 
 
.gitignore
.gitignore
 
 
Analysis of clustering.ipynb
Analysis of clustering.ipynb
 
 
Analyzing saved diamonds.ipynb
Analyzing saved diamonds.ipynb
 
 
Animations with QuTiP.ipynb
Animations with QuTiP.ipynb
 
 
Bootstrap solution.ipynb
Bootstrap solution.ipynb
 
 
Comparing hamiltonians with QuTiP.ipynb
Comparing hamiltonians with QuTiP.ipynb
 
 
Create datasets and classifiers.ipynb
Create datasets and classifiers.ipynb
 
 
Decoherence.ipynb
Decoherence.ipynb
 
 
Example plots for thesis.ipynb
Example plots for thesis.ipynb
 
 
Example simulations for thesis.ipynb
Example simulations for thesis.ipynb
 
 
Fingerprints.ipynb
Fingerprints.ipynb
 
 
Functional.ipynb
Functional.ipynb
 
 
HoningSkills.ipynb
HoningSkills.ipynb
 
 
NV_generator.py
NV_generator.py
 
 
NV_generator.pyc
NV_generator.pyc
 
 
Optimizations.ipynb
Optimizations.ipynb
 
 
Other ways to choose resonances.ipynb
Other ways to choose resonances.ipynb
 
 
README.md
README.md
 
 
Streamlined.ipynb
Streamlined.ipynb
 
 
The Limitations of SVCs with RBFs.ipynb
The Limitations of SVCs with RBFs.ipynb
 
 
The Rectangle Problem.ipynb
The Rectangle Problem.ipynb
 
 
Untitled.ipynb
Untitled.ipynb
 
 
Variations.ipynb
Variations.ipynb
 
 
all_them_times_split.pkl
all_them_times_split.pkl
 
 
analysis.py
analysis.py
 
 
analysis.pyc
analysis.pyc
 
 
background_A_B.pkl
background_A_B.pkl
 
 
background_A_B.pkl_01.npy
background_A_B.pkl_01.npy
 
 
background_A_B.pkl_02.npy
background_A_B.pkl_02.npy
 
 
bootstrap.pkl
bootstrap.pkl
 
 
complete_lattice.csv
complete_lattice.csv
 
 
data_tim.csv
data_tim.csv
 
 
diamond_example.npz
diamond_example.npz
 
 
fingerprint_fit_N_16_minus.pkl
fingerprint_fit_N_16_minus.pkl
 
 
fingerprint_fit_N_32_minus.pkl
fingerprint_fit_N_32_minus.pkl
 
 
fingerprint_fit_N_64_minus.pkl
fingerprint_fit_N_64_minus.pkl
 
 
fingerprint_fit_N_8_minus.pkl
fingerprint_fit_N_8_minus.pkl
 
 
learning.py
learning.py
 
 
learning.pyc
learning.pyc
 
 
many_spins.pickle
many_spins.pickle
 
 
movies.py
movies.py
 
 
packet_AB.csv
packet_AB.csv
 
 
packet_tm.csv
packet_tm.csv
 
 
plot1497397429.pdf
plot1497397429.pdf
 
 
threshold_analysis.pkl
threshold_analysis.pkl
 
 
two_As.pickle
two_As.pickle
 
 

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NV-spin-tomography

This repository holds the python code for the undergraduate thesis project of Michael Scheer at Brown University. The thesis project was conducted under the supervision of Professor Rashid Zia at Brown and with the help of Professor Tim Taminiau and Julia Cramer at TU Delft.

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