Skip to content

fix cirq example #2639

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
Open
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
18 changes: 6 additions & 12 deletions docs/computing/quantum-computing/fiqci-partition.md
Original file line number Diff line number Diff line change
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
Original file line number Diff line number Diff line change
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