From an open enclosure to a submitted experiment at Euro-Q-Exa

The door is open, and two people in white coats stand beside the equipment. This January 15, 2026 photograph of Euro-Q-Exa at the Leibniz Supercomputing Centre gives the viewer access to a side of quantum computing that a processor specification rarely describes. An instrument has to occupy a room, provide access to its components and fit into the routines of the people responsible for it.^[1]

The next photograph closes the enclosure. The contrast is useful because neither view is the whole system story. The open view explains physical access; the closed view shows the installed equipment as a user of the facility might recognize it. A closer photograph of the exterior adds institutional context. Together they document an installation at one point in its history, before the later expansion announcements that should be reported with their own dates.^[1][2][3]

LRZ’s June account supplies another view, this time from the people submitting experiments. It described an early group of researchers testing workflows, benchmarks, error mitigation and hybrid methods. In one example, mathematician Hedwig Keller ran previously simulated quantum models using two or six qubits over several days, comparing different physical qubits and trying parallel execution. Daily recalibration and differences in hardware quality were part of the experimental setting.^[4]

That small-scale example is a particularly good companion to a large equipment photograph. The size of the installed system does not dictate that every useful test must occupy all of it. A researcher may deliberately begin with a compact model to learn how a method behaves, compare results with a simulator and investigate which parts of a workflow are sensitive to the machine’s conditions.

A submitted program also passes through more than one kind of work. The researcher defines the model and its observable outputs. Software expresses the circuit in an accepted form. The system executes repeated preparations and measurements.

Classical analysis then turns the returned data into a comparison. If a result changes, the next question is where in that chain the change arose. A photograph of an enclosure cannot answer it, but the photograph can locate the physical stage of the chain.

This is why a gallery sequence should pair the room with a workflow diagram. The machine view establishes that the quantum resource is an operated instrument. The diagram establishes that a scientific result includes model design, classical computation, repeated measurements and interpretation. Neither should suggest that the presence of a quantum processor has already improved a full climate model or delivered an application advantage.

The photographs and the user report belong to different dates, and that distinction helps the story. January records an installation. June records some experiences of working with it. Progress becomes more concrete when it is described as the movement from equipment to reproducible use: people learn which experiments to submit, how to compare outcomes and what to change next. Those are meaningful steps even when the experiment itself occupies only a small part of the available device.^[1][2][3][4]