Skip to content

LUMI-IQ: Hybrid HPC, AI and Quantum Computing Platform

LUMI-IQ is the experimental quantum computing platform of the LUMI AI Factory, designed for hybrid HPC+AI+QC workloads. It builds on the LUMI supercomputer and will be deployed alongside the new LUMI-AI supercomputer.

LUMI-IQ establishes a hybrid HPC+QC architecture, allowing classical workloads to run on the LUMI infrastructure while quantum circuits are dispatched to the QPU.

The LUMI-Q VLQ quantum computer stands in as LUMI-IQ today

Until the dedicated LUMI-IQ system is commissioned, the VLQ quantum computer of the LUMI-Q consortium serves as the primary hardware target. VLQ is hosted and operated by the IT4Innovations National Supercomputing Center in Ostrava, Czech Republic. Hybrid HPC+QC workflows and software modules deployed on VLQ today run seamlessly and provide an immediate head start for LUMI-IQ.


The Quantum Hardware

VLQ is a superconducting quantum computer built by IQM Quantum Computers and operated by IT4Innovations. Funded jointly by the EuroHPC JU and eight partner nations, it was commissioned in 2025.

Property Specification
Qubit Technology Superconducting transmon qubits
Number of Qubits 24 physical qubits
Coupling Topology Star-shaped: peripheral qubits connect to a central resonator
Native Gate Set Single-qubit phased rotations (PRX) and two-qubit Controlled-Z (CZ)
Hardware Supplier IQM Quantum Computers
Hosting Facility IT4Innovations National Supercomputing Center, Ostrava, Czechia
Software Frameworks Qiskit (via iqm-client and qiskit-iqm)
Execution Levels Gate-level and pulse-level control (through IQM Pulla)
Accounting Unit QPU seconds

The star-shaped topology minimizes swap-gate overhead by allowing any peripheral qubit to interact with any other qubit via the central resonator, maximizing the effective circuit depth achievable within the qubit coherence time.

Real-time device calibration data and qubit fidelity metrics are published on the IT4I Calibration and Health dashboard.


Loading the modules

The LUMI-IQ software stack is centrally integrated into LUMI’s module system under /appl/local/lumiiq/modulefiles. To inspect the available modules:

module use /appl/local/lumiiq/modulefiles
module avail

To load the environment:

module load Lumi-IQ

Module Hierarchy

To accommodate diverse hybrid scientific workflows, the stack is organized into specialized domain modules:

Module Description
Lumi-IQ-qaas/VLQ Primary Hardware Target: Direct submission to the physical 24-qubit VLQ QPU.
Lumi-IQ-qaas/SIM HPC Simulator Target: High-performance classical circuit simulation on LUMI CPU nodes.
Lumi-IQ-core Baseline quantum circuit transpilation and hybrid orchestration.
Lumi-IQ-qml Quantum Machine Learning and Hybrid AI computations.
Lumi-IQ-ems Quantum Error Mitigation.

Testing with the local simulator

When targeting the local simulator for testing without QPU credentials, you can load the simulation profile module load Lumi-IQ-qaas/SIM.


Running your first job

LUMI-IQ jobs must be executed on LUMI compute nodes and scheduled using Slurm (e.g. via sbatch or interactive sessions). Do not run jobs on login nodes.

Your Slurm job runs a Python script that either dispatches quantum circuits to the physical QPU over the network or executes them locally on the compute node using the simulator.

Targeting the VLQ QPU

Submitting circuits to the physical QPU requires a dedicated quantum allocation (see the Quantum Hardware Access Guide).

For runnable hybrid examples and workflows, please refer to the official repository:


More Information & References