Getting Started

1. Open Spinorio Lab

Open Spinorio Lab and create a Python / Qiskit notebook. The Lab is a JupyterLab workspace; ordinary notebook editing and execution stay available alongside Spinorio’s Workflow and Compile areas.

2. Run a small circuit

This local Aer example is useful for learning the interface because it does not require an IBM account.

from qiskit import QuantumCircuit
from qiskit_aer import AerSimulator

qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])

backend = AerSimulator()
job = backend.run(qc, shots=1024)
result = job.result()
result.get_counts()

After the cell completes, Spinorio can observe the circuit state and execution activity supported by the runtime sensor. The exact records that appear depend on the operations observed and the available capture evidence.

3. Find the work in Workflow

1. 1
   Open Workflow

   Use the Workflow item in Spinorio’s top navigation.

2. 2
   Open Circuits

   Locate the logical circuit lineage. Circuit rows represent logical circuit families rather than every Python object occurrence.

3. 3
   Open Jobs

   Inspect captured execution records, timing/evidence, provenance, and results when they are available.

4. 4
   Use the notebook sidebar

   The Spinorio left sidebar is notebook-local and provides a compact view of activity associated with the active notebook.

4. Continue with hardware or compilation