spin_qudit_tomography
Spin Tomography Calculator
Research codes for computing spin qudit tomography parameters and error scales.
Some codes written for a paper on spin qudit tomography.
2 stars
3 watching
1 forks
Language: Python
last commit: almost 5 years agoLinked from 1 awesome list
qosf/awesome-quantum-softwareRelated projects:
| Repository | Description | Stars |
|---|---|---|
 tiago939/quforge | A Python-based simulator for quantum systems composed of qudits | 11 |
 ordoptimus/pyqudit | A Python package for simulating quantum gates in higher-dimensional spaces | 2 |
 tpogden/quantum-python-lectures | Self-study lectures on using Python for scientific computing in atomic physics and quantum optics | 89 |
 cern/tigre | A toolbox providing high-performance algorithms for tomographic reconstruction on GPUs | 594 |
 spin-test/spin-test | Provides tools to test anatomical correspondence between cortical surface maps using random rotations and statistical analysis. | 46 |
 svip-lab/ppgnet | This project presents a PyTorch implementation of a deep learning algorithm for detecting line segments in images. | 172 |
 eo-college/tomography_tutorial | Teaches data processing and display techniques using Synthetic Aperture Radar tomography | 110 |
 thorstone25/qups | A MATLAB toolbox for designing and simulating diagnostic ultrasound imaging systems | 48 |
 koide3/ndt_omp | An optimized Normal Distributions Transform algorithm for point cloud registration | 755 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 perone/medicaltorch | A framework for building deep learning models on medical imaging data | 855 |
 locuslab/optnet | A PyTorch module that adds differentiable optimization as a layer to neural networks | 517 |
 spm/spm | Software for analyzing brain imaging data sequences | 82 |
 doctorteeth/diffmem | Differentiable memory schemes for neural networks | 220 |
 mvallieres/radiomics | A MATLAB package providing tools and algorithms for radiomics analysis | 144 |