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fix cirq example #2639

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fix cirq example #2639

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499c922
fix cirq example
JooNiv Jul 3, 2025
05da9eb
Changes based on feedback
JooNiv Jul 4, 2025
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18 changes: 6 additions & 12 deletions docs/computing/quantum-computing/fiqci-partition.md
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Expand Up @@ -8,14 +8,13 @@ The FiQCI partition within LUMI provides access to quantum processing units (QPU

## LUMI Quantum Computing projects vs. regular LUMI projects

Quantum computing projects are slightly different from standard LUMI projects. The main difference is, that you will
need to apply for quantum resources in addition to CPU, GPU, and storage.

Quantum computing projects are slightly different from standard LUMI projects. The main difference is, that you need to apply for quantum resources in addition to CPU, GPU, and storage.
More information about applying for quantum computing projects can be found from [here](./projects.md).

## The FiQCI partition `q_fiqci`

The `q_fiqci` partition on LUMI is dedicated to quantum computing workloads. It provides a direct connection between a [LUMI-C
node](https://docs.lumi-supercomputer.eu/hardware/lumic/) and the Fiqci quantum computers.
node](https://docs.lumi-supercomputer.eu/hardware/lumic/) and the FiQCI quantum computers.

* [Further details on LUMI nodes](https://docs.lumi-supercomputer.eu/hardware/)

Expand All @@ -35,15 +34,10 @@ The `q_fiqci` partition uses the same storage policies as LUMI. You can find [fu

Quantum computing projects work similarly to the regular LUMI system. The main differences are:

1. FiQCI projects use the `--partition=q_fiqci` partition instead of the regular LUMI-C `--partition=standard` and `--partition=small`.
1. The dedicated quantum computing partition of LUMI is `q_fiqci`.
2. The maximum job walltime is **2 hours**.
3. Usage is billed as QPU seconds **QPUs** in `q_fiqci`.
3. Usage is billed as QPU seconds **QPUs**.
4. The LUMI-Fiqci computing environment has to be loaded separately. See [Running on quantum jobs](./running-quantum-jobs.md) for details.

Presently, running through the `q_fiqci` queue will consume QPU seconds for the amount of wall-time spent running in the `q_fiqci` queue.

!!! success "Querying your used QPUs"
You can check your used QPUs using the `lumi-allocations` tool.


Support can be reached via the [CSC Service Desk](../../support/contact.md). Note that presently, user support is limited to technical issues.
Support can be reached via the [CSC Service Desk](../../support/contact.md) for LUMI related issues or at [[email protected]](mailto:[email protected]) for FiQCI and quantum computing services related issues.
28 changes: 16 additions & 12 deletions docs/computing/quantum-computing/running-quantum-jobs.md
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Expand Up @@ -278,15 +278,16 @@ To load the Cirq module use `module load fiqci-vtt-cirq`.
circuit.append(cirq.measure(q1, q2, key='m'))
print(circuit)

decomposed_circuit = sampler.device.decompose_circuit(circuit)
routed_circuit, initial_mapping, final_mapping = sampler.device.route_circuit(decomposed_circuit)
routed_circuit, initial_mapping, final_mapping = sampler.device.route_circuit(circuit)
decomposed_circuit = sampler.device.decompose_circuit(routed_circuit)

# Optionally print mapping
# print(routed_circuit)
# print(initial_mapping)
# print(final_mapping)
# print(decomposed_circuit)

result = sampler.run(routed_circuit, repetitions=shots)
result = sampler.run(decomposed_circuit, repetitions=shots)
print(result.measurements['m'])
```

Expand All @@ -312,15 +313,16 @@ To load the Cirq module use `module load fiqci-vtt-cirq`.
circuit.append(cirq.measure(q1, q2, key='m'))
print(circuit)

decomposed_circuit = sampler.device.decompose_circuit(circuit)
routed_circuit, initial_mapping, final_mapping = sampler.device.route_circuit(decomposed_circuit)
routed_circuit, initial_mapping, final_mapping = sampler.device.route_circuit(circuit)
decomposed_circuit = sampler.device.decompose_circuit(routed_circuit)

# Optionally print mapping
# print(routed_circuit)
# print(initial_mapping)
# print(final_mapping)
# print(decomposed_circuit)

result = sampler.run(routed_circuit, repetitions=shots)
result = sampler.run(decomposed_circuit, repetitions=shots)
print(result.measurements['m'])
```

Expand Down Expand Up @@ -348,25 +350,27 @@ To load the Cirq module use `module load fiqci-vtt-cirq`.
circuit.append(cirq.measure(q1, q2, key='m'))
print(circuit)

decomposed_circuit_helmi = sampler_helmi.device.decompose_circuit(circuit)
routed_circuit_helmi, initial_mapping_helmi, final_mapping_helmi = sampler_helmi.device.route_circuit(decomposed_circuit_helmi)
routed_circuit_helmi, initial_mapping_helmi, final_mapping_helmi = sampler_helmi.device.route_circuit(circuit)
decomposed_circuit_helmi = sampler_helmi.device.decompose_circuit(routed_circuit_helmi)

decomposed_circuit_q50 = sampler_q50.device.decompose_circuit(circuit)
routed_circuit_q50, initial_mapping_q50, final_mapping_q50 = sampler_q50.device.route_circuit(decomposed_circuit_q50)
routed_circuit_q50, initial_mapping_q50, final_mapping_q50 = sampler_q50.device.route_circuit(circuit)
decomposed_circuit_q50 = sampler_q50.device.decompose_circuit(routed_circuit_q50)

# Optionally print mapping
# print("Mapping Helmi")
# print(routed_circuit_helmi)
# print(initial_mapping_helmi)
# print(final_mapping_helmi)
# print(decomposed_circuit_helmi)

# print("Mapping Q50")
# print(routed_circuit_q50)
# print(initial_mapping_q50)
# print(final_mapping_q50)
# print(decomposed_circuit_q50)

result_helmi = sampler_helmi.run(routed_circuit_helmi, repetitions=shots)
result_q50 = sampler_q50.run(routed_circuit_q50, repetitions=shots)
result_helmi = sampler_helmi.run(decomposed_circuit_helmi, repetitions=shots)
result_q50 = sampler_q50.run(decomposed_circuit_q50, repetitions=shots)

print(f"Results Helmi: {result_helmi.measurements['m']}")
print(f"Results Q50: {result_q50.measurements['m']}")
Expand Down