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Specific instructions for the FiQCI partition on LUMI

The FiQCI partition within LUMI provides access to quantum processing units (QPUs) for users belonging to projects with allocated QPU resources. In addition to executing quantum workloads via LUMI, users can leverage the full LUMI infrastructure, including its software stack and quantum simulators, for development, testing, and hybrid quantum-classical workflows.

View status of the quantum computers

You can check the status of the connection here: https://fiqci.fi/status

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.

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 and the Fiqci quantum computers.

There is one queue in the LUMI partition corresponding to FiQCI projects: q_fiqci. Currently, the maximum run time of a quantum job is 2 hours.

Name Max walltime Max jobs
q_fiqci 2 hours 64

Storage areas

The q_fiqci partition uses the same storage policies as LUMI. You can find further details on LUMI Storage here.

Usage and Billing

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.
  2. The maximum job walltime is 2 hours.
  3. Usage is billed as QPU seconds QPUs in q_fiqci.
  4. The LUMI-Fiqci computing environment has to be loaded separately. See Running on quantum jobs 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.

Querying your used QPUs

You can check your used QPUs using the lumi-allocations tool.

Support can be reached via the CSC Service Desk. Note that presently, user support is limited to technical issues.