@pranavkakhandiki

Unitary Hack PR qBraid/qBraid#257 from issue qBraid/qBraid#233 added ability to compile a Braket / Pytket circuit to run on IonQ Harmony device through qbraid.devices.AwsDeviceWrapper.run method via _compat_run_input via braket_ionq_compilation.

Want to create demo notebook that shows a useful example of doing this. Should use qbraid.get_devices to get device ID, and show qbraid.get_jobs` at the end, and how to retrieve and print results.

Added bonus to include qBraid Lab features as part of workflow e.g. :

• pictures showing how to check for IonQ Harmony device availability using Quantum Devices sidebar side by side with sdk devices search example
• line at top of notebook enabling quantum jobs in qBraid SDK environment, like in devices and jobs notebook
• pictures and instructions explaining how to retrieve job using Quantum Jobs sidebar

Feel free to use anything from amazon braket examples or docs as reference if useful

Re: qBraid/qBraid#522

@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.

The qiskit-braket-provider tutorials directory contains some notebooks that are of a similar idea. I would say you could work directly off of one of these, but a key factor in this issue is that many of the built-in qiskit.algorithms libraries use custom gates which are not supported by the qBraid-SDK transpiler. So the best approach could be to find an algorithm that is of a small enough size / scope that it can re-written using qiskit standard gates.

Once you have a qiskit algorithm written, the first litmus test is to attempt to transpile it to braket (see sdk transpiler docs), e.g.

from qbraid import circuit_wrapper
from qiskit import QuantumCircuit()

qiskit_circuit = QuantumCircuit(...)
braket_circuit = circuit_wrapper(qiskit_circuit).transpile.("braket")

if that works, then you are almost done. The last step is to use the device wrapper to submit the algo circuit as a quantum job to an AWS device e.g. Braket SV1 (see sdk devices docs). If you have your own AWS credentials, you can do this all locally. If not, you can use the qBraid-SDK environment on qBraid Lab with Quantum Jobs enabled. See install environment docs and quantum jobs docs / sdk quantum jobs demo notebook

The Pennylane GPU environment runs the demo on the first run successfully. What's odd though, is that on a second run the kernel fails to detect the plugin.

@pranavkakhandiki

From Unitary Hack PR qBraid/qBraid#246 from issue qBraid/qBraid#231, SDK now supports submitting batch jobs (multiple circuits at once) to IBM devices, see qbraid.IBMBackendWrapper.run_batch()

Will want to create demo notebook that shows an example of doing this, and also that highlights the batch jobs integration with a picture or gif of the qBraid devices sidebar (see circuitBatch field at bottom of image on right).

qBraid Lab does not currently support IBM quantum jobs, so will need to use your own IBM credentials to submit to these devices.