Troubleshooting¶

Overview¶

This page lists common issues encountered when installing or using the Quantum Rings SDK and toolkit, along with practical guidance.

If you are unsure about installation steps, see:

If your issue occurs during execution, also see:

Credential and account issues¶

Invalid or missing credentials¶

If QuantumRingsProvider() fails or you cannot acquire a backend:

Verify your token and account name.
Ensure credentials were saved correctly.
Confirm that your account is active.

See Quantum Rings credentials.

Backend not found¶

If provider.get_backend("name") fails:

Confirm the backend name is spelled correctly.
Confirm the backend is available in your environment (CPU vs GPU mode).
Ensure your installation matches the backend you are attempting to use.

See Backends.

Installation issues¶

Import errors¶

If Python cannot import QuantumRingsLib:

Verify the package is installed in the active environment.
Confirm you are using the correct virtual environment.
Reinstall the package if necessary.

GPU backend unavailable¶

If a GPU backend cannot be acquired:

Confirm GPU mode installation was completed successfully.
Ensure your system meets the documented GPU requirements.
Verify CUDA and driver compatibility.

See Install (GPU-enabled).

Circuit construction issues¶

Too many qubits¶

Creating a QuantumCircuit with more qubits than allowed by your system capacity or account may raise an error.

If this occurs:

Verify your account limits.
Reduce the number of qubits.
Confirm the circuit size matches your intended configuration.

See Quantum Rings credentials.

Unsupported operations¶

If circuit construction or QASM import fails:

Ensure the operations used are available in QuantumCircuit.
Check Supported gates.
Verify your OpenQASM 2.0 input is valid.

See QASM import.

Parameter assignment errors¶

If assign_parameters(...) fails:

Ensure all required parameters are provided in a single dictionary.
Confirm parameter names match those defined in the circuit.
Avoid mixing partially assigned parameters.

See Parameters.

Execution and results issues¶

No measurement results¶

If execution completes but no sampled data appears:

Ensure measurement operations (measure(), measure_all(), etc.) were added to the circuit.
Confirm shots was specified if required.

See Measurement.

Unexpected count values¶

result.get_counts() returns percentage values, not raw integer shot counts.

If integer counts are needed, compute them from the number of shots executed.

See Measurement.

Primitive execution issues¶

If Sampler or Estimator execution fails:

Confirm the backend was created successfully.
Ensure PUB tuples are structured correctly.
Verify parameter values are provided where required.

See Primitives (Toolkit for Qiskit).

General guidance¶

When diagnosing issues:

Start with a minimal circuit (e.g., two qubits and one gate).
Confirm provider and backend acquisition independently.
Add complexity incrementally.
Verify parameter values before execution.
Confirm installation mode (CPU vs GPU) matches your workflow.

If problems persist, capture:

The exact error message
The backend name used
The circuit size
The execution configuration

Return to Quantum Rings SDK Documentation.