Toolset for control, calibration and characterization of physical systems
Project description
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 optimise.
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 implementated 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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file paraqeet-0.10.0.tar.gz.
File metadata
- Download URL: paraqeet-0.10.0.tar.gz
- Upload date:
- Size: 4.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
01eb06ddb836075e1940121f194aecbcda132eef465ad24888baee46a4413217
|
|
| MD5 |
9fa62871731d8f1c807f4c732e14c84e
|
|
| BLAKE2b-256 |
e5a289ac8baed5c86732c76d73957b107a46145a2a9351860e6baef73f2844e6
|
File details
Details for the file paraqeet-0.10.0-py3-none-any.whl.
File metadata
- Download URL: paraqeet-0.10.0-py3-none-any.whl
- Upload date:
- Size: 102.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9c269f7c1b4033b4fd358d7a5701bf0bef5f3635e683f6ff829e720698e72760
|
|
| MD5 |
9d7538d770e7904e8e1f6c8e4a6c0773
|
|
| BLAKE2b-256 |
de0fb79fc1d97353364f5d6447b7ffeeabe69939ebecffc6388fe930044e9809
|
