Training Material

Examples for submitting quantum circuits to MQSS backends via Qiskit and PennyLane adapters.

Setup

pip install uv
uv sync
source .venv/bin/activate

Copy .env.example to .env and fill in your credentials:

MQSS_TOKEN=your_token
MQSS_BACKEND=EQE1
MQSS_URL=https://portal.quantum.lrz.de
MQSS_PORT=4000

File	Description
`01_simple_circuit_submission.py`	Build a Bell circuit with Qiskit and submit it as a job
`02_batch_job_submission.py`	Submit multiple circuits in a single batch job
`03_transpiled_circuit_submission.py`	Transpile a circuit locally with a specific qubit layout, then submit with `no_modify=True`
`04_reading_from_qasm.py`	Load a circuit from a QASM3 string or file and submit it
`05_job_output_and_metadata.py`	Inspect backend metadata: available instructions, coupling map, job results
`06_job_submission_with_hamiltonians.py`	Use PennyLane to compute expectation values of Hamiltonians on the backend

Run any example from the Training-Material directory:

python examples/01_simple_circuit_submission.py

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
data		data
examples		examples
.env.example		.env.example
.gitignore		.gitignore
.python-version		.python-version
README.md		README.md
config.py		config.py
pyproject.toml		pyproject.toml
uv.lock		uv.lock