Core application library of DLR QCI Connect quantum computing platform.
Project description
QCI Connect Application Library (AppLib)
This is a python package containing the core application library of the QCI Connect platform of the German Aerospace Center (DLR).
The library contains concrete implementations that are based on the Application Library Framework (ALF).
Installation Instructions
To install the requirements for this package, we recommend using ultraviolet (installation guide). All dependencies can be installed to a virtual environment via
git submodule update --init
uv sync
Before using AppLib, we need to activate the virtual environment. Here's how it's done on different operating systems. Note the different activation instructions for other shells.
Linux and MacOs
Open a bash shell and run
source .venv/bin/activate
Windows
Open the powershell and run
.venv/Scripts/activate
Project details
Release history Release notifications | RSS feed
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 qciconnect_applib-0.2.0.tar.gz.
File metadata
- Download URL: qciconnect_applib-0.2.0.tar.gz
- Upload date:
- Size: 1.2 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f8fb28bc93beab334fb50e5924c7d099aa0e943e06ea95c82fd576c73121a817
|
|
| MD5 |
f5462aa63875f87e8d70a1ba4ef794df
|
|
| BLAKE2b-256 |
4cb349ec9df019b1bfa8350919ff5ddd04d1cc92408f9d204826d4d7d64a469c
|
File details
Details for the file qciconnect_applib-0.2.0-py3-none-any.whl.
File metadata
- Download URL: qciconnect_applib-0.2.0-py3-none-any.whl
- Upload date:
- Size: 50.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
cf12b029cade6170475f68dc9ad6009d1b7299aadef1ff5c6805ef388b6f1556
|
|
| MD5 |
306ec7bb44d3528b57037b3ed53511c1
|
|
| BLAKE2b-256 |
f42bf70f8a68e0352d4d9ea66b0923f8f47ce2f1490558b82535b16959292d9b
|