qbraid-lab-demo icon indicating copy to clipboard operation
qbraid-lab-demo copied to clipboard

Notebooks demonstrating how to use qBraid Lab to streamline quantum workflows, connect to quantum hardware, and leverage GPU-enabled scalable compute for hybrid algorithms.

Results 6 qbraid-lab-demo issues
Sort by recently updated
recently updated
newest added

Update all [qBraid-SDK example notebooks](https://github.com/qBraid/qbraid-lab-demo/tree/main/qbraid_sdk) to be runnable using qBraid-SDK v0.7 in anticipation of upcoming release. Use install from current pre-release: https://pypi.org/project/qbraid/0.7.0.dev20240516020308/

@pranavkakhandiki From Unitary Hack PR https://github.com/qBraid/qBraid/pull/246 from issue https://github.com/qBraid/qBraid/issues/231, SDK now supports submitting batch jobs (multiple circuits at once) to IBM devices, see [`qbraid.IBMBackendWrapper.run_batch()`](https://github.com/qBraid/qBraid/blob/6e6cecc3ec4b7bac973f557606778d2cd07b8307/qbraid/devices/ibm/device.py#L111) Will want to create demo notebook...

qbraid-sdk
quantum-jobs
qiskit

@pranavkakhandiki Unitary Hack PR https://github.com/qBraid/qBraid/pull/257 from issue https://github.com/qBraid/qBraid/issues/233 added ability to compile a Braket / Pytket circuit to run on IonQ Harmony device through [`qbraid.devices.AwsDeviceWrapper.run`](https://github.com/qBraid/qBraid/blob/0c10aec4e8fabe48dcc7e466e399e1173f78eb56/qbraid/devices/aws/device.py#L234) method via [`_compat_run_input`](https://github.com/qBraid/qBraid/blob/71243d27390fe4e660ca6b4aeb4602d5689d3e02/qbraid/devices/device.py#L74) via [`braket_ionq_compilation`](https://github.com/qBraid/qBraid/blob/0c10aec4e8fabe48dcc7e466e399e1173f78eb56/qbraid/devices/aws/ionq.py#L71)....

qbraid-sdk
quantum-jobs
amazon-braket

@pranavkakhandiki We would like to create a new demo notebook that shows how you can write an algorithm in Qiskit and execute it on an AWS device using the qBraid-SDK....

qbraid-sdk
algorithms
qiskit
transpiler

Add actions that verifies that each notebook has the following copyright footer in the raw .`ipynb` file data: ``` { "cell_type": "markdown", "id": "7edaff03-26c3-4370-9f91-8b028b625732", "metadata": {}, "source": [ "\n", "Copyright...

![image](https://github.com/user-attachments/assets/6a0fe7ab-774c-4b0f-8383-82a868ec27a7) So that coming from here we have a opening sequence users to get back to lab from this place- ![image](https://github.com/user-attachments/assets/8072e369-51b1-4c42-a47b-7837a45f8880) Also as an additional thought add an api route...