QuICK
QuICK is a universal wrap of QICK.
Installation
This is the installation on your PC. For QICK Board setup, see here.
Install this package with pip:
pip install clelandlab-quick
Then you can import it in your Python code:
import quick
# connect to the QICK board
soccfg, soc = quick.connect(QICK_IP)
Layers
QuICK has several layers of complexity.
quick.autoAutomation of Qubit Measurementsquick.experimentExperiment Routines for Qubit Measurementsquick.MercatorMercator Protocol for Pulse Sequence Programqickthe QICK firmware
Cite this work
@article{li2026large,
title={Large Language Model-Assisted Superconducting Qubit Experiments},
author={Li, Shiheng and Miller, Jacob M and Lee, Phoebe J and Andersson, Gustav and Conner, Christopher R and Joshi, Yash J and Karimi, Bayan and King, Amber M and Malc, Howard L and Mishra, Harsh and others},
journal={arXiv preprint arXiv:2603.08801},
year={2026}
}
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
clelandlab_quick-0.7.1.tar.gz
(21.9 kB
view details)
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 clelandlab_quick-0.7.1.tar.gz.
File metadata
- Download URL: clelandlab_quick-0.7.1.tar.gz
- Upload date:
- Size: 21.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a1b5d0a9354e9fbca36494e195d76cc08175e5587a390019baf142012c3d42fc
|
|
| MD5 |
d8b7373e11c1b7e810053478bfcc5f7d
|
|
| BLAKE2b-256 |
8d9e36ff04c10a8138aa644982e3fbe201cb637d124f0890b151814f06209b92
|
File details
Details for the file clelandlab_quick-0.7.1-py3-none-any.whl.
File metadata
- Download URL: clelandlab_quick-0.7.1-py3-none-any.whl
- Upload date:
- Size: 23.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.9.25
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c79800f64c2d40c14c3d775898b51ee40600ce179ed0ac69d1127e3524eb2a83
|
|
| MD5 |
2d0da68522c05b9aebff62f0b45871a4
|
|
| BLAKE2b-256 |
aaa0480cbc36cb01bae29b332786fa76cb5f5760a7f1ac945a300dc17849da21
|
