No project description provided
Project description
Q# widgets
The Q# widgets are Jupyter Widgets built using the AnyWidget package https://anywidget.dev/
Build with ./build.py --widgets.
Install the built wheel via
pip install --force-reinstall ./target/wheels/qsharp_widgets-0.0.0-py2.py3-none-any.whl
For development, perform an 'editable' install with pip install -e ./widgets in
the venv used for testing. Any changes made to the package are then immediately reflected.
If developing the web code (JS and CSS), then in the test environment also install
pip install watchfiles, and in the ./widgets directory run npm run dev to
build in watch mode. This will use AnyWidget's hot module reloading to automatically
update the Python package as changes are made. (See https://anywidget.dev/blog/anywidget-02/).
With the above done, use the Q# widgets in you Python test environment via import qsharp_widgets.
Usage
In a notebook, generate the estimates for a program and display the widgets with code such as that shown below:
# Cell-1 : Import the modules and generate some estimates
import qsharp
from qsharp_widgets import SpaceChart, EstimateDetails
with open("sample.qs", "r") as f:
contents = f.read()
qsharp.eval(contents)
result1 = qsharp.estimate("Sample.Main()")
# Cell-2 : Display the details in table form
EstimateDetails(result1)
# Cell-3 : Display the space chart
SpaceChart(result1)
# Cell-4 : Use the logical counts to get estimates for a different qubit
result2 = qsharp.physical_estimates_from_logical_counts(
result1.get("logicalCounts"),
{
"qubitParams": { "name": "qubit_maj_ns_e6" },
"qecScheme": { "name": "floquet_code" }
}
)
SpaceChart(result2)
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 Distributions
Built Distribution
File details
Details for the file qsharp_widgets-1.9.5.dev0-py2.py3-none-any.whl.
File metadata
- Download URL: qsharp_widgets-1.9.5.dev0-py2.py3-none-any.whl
- Upload date:
- Size: 170.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: RestSharp/106.13.0.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 77e78e8d3e0f59f0b53aec8cefaa4441f73347bb884f916b0ed8e07b6b7c9748 |
|
| MD5 | cf04ab421b275f0ee7f75119cb4fbdd2 |
|
| BLAKE2b-256 | 928e10eca3df4f68da032be37c3de97e4580bfedb20125c71e03be59003d2290 |
