This release is a pre-release and may not be stable for production use.
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
from qdk import qsharp
from qdk.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)
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