ParaQeet - A quantum optimal control toolkit with simple parameter management
Note: This is a preview version, a 1.0.0 release is forthcoming.
Choose a pulse parametrisation, simulate a quantum system, and optimize.
Combining Quantum Optimal Control methods with automatic differentiation with JAX. Aimed at resource efficient computation.
We use a top-down approach to make the codebase modular. Each module interacts only with the module above it in hierarchy.
Currently implemented optimization methods
- GRAPE: Gradient Ascent Pulse Enginnering
- GOAT: Gradient Optimization of Analytic conTrols
- dCRAB : (Gradient based) dressed Chopped RAndom Basis
Installation from PyPi
Install with pip install paraqeet.
Installation from source
Follow the contributing document.
3 maintainers
Release files for paraqeet 0.11.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| paraqeet-0.11.1.tar.gz | 4.0 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| paraqeet-0.11.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 MB
Release files / paraqeet-0.11.1.tar.gz
| Download URL | paraqeet-0.11.1.tar.gz |
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| Size | 4.0 MB |
| Tags | Source |
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Release files / paraqeet-0.11.1-py3-none-any.whl
| Download URL | paraqeet-0.11.1-py3-none-any.whl |
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| Size | 106.9 kB |
| Tags | Python 3 |
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