Labs & Research Organisations

Build quantum experiments
that others can examine

Bring domain expertise, quantum methods and experimental evidence into a connected workflow. QuantumClass supports research preparation, while Spinorio Lab provides the environment for developing and inspecting experiments.

The challenge

Keep the scientific question connected to the evidence

A quantum research result depends on more than the circuit alone. Input states, compilation choices, target constraints, execution settings and available results all influence its interpretation. As an investigation branches, those relationships can become difficult to reconstruct.

Research teams also bring different levels of quantum experience. Establishing a shared foundation makes it easier to formulate a precise problem, choose a useful baseline and agree on what an experiment would need to demonstrate.

Learning and experimentation

Develop a sound understanding of quantum computation, then put it to work in a practical research environment.

QuantumClass

Prepare the research with QuantumClass

Use structured learning to connect quantum principles with a research question. Courses and the research programme combine conceptual work, practical assignments and instructor feedback.

  • Develop the mathematical understanding needed to interpret quantum algorithms and measurements.
  • Apply Python and Qiskit through coding assignments and worked implementations.
  • Move from opportunity discovery and quantum fit to problem formulation and a testable workflow.
Explore QuantumClass

Spinorio Lab

Develop and inspect experiments in Spinorio Lab

Work in JupyterLab with pre-installed SDKs, local simulation and integrated experiment tools. Keep circuit development close to the records needed to understand how a result was produced.

  • Inspect captured circuit histories, processing records, jobs and available results.
  • Compile against a selected hardware target and compare structural metrics under a common configuration.
  • Continue development from a compiled circuit or a preserved source snapshot.
  • Group selected records in projects and share context through roles and contributor branches.

Workflow observes supported Qiskit-family activity. Compilation and hardware submission are separate steps; remote execution requires provider access and notebook authentication.

Explore Spinorio Lab

In practice

From a research question to inspectable evidence

Define the question, control the comparison and retain the context needed for colleagues to assess the result.

  1. Specify the study

    State the computational problem, workload and evaluation objective. Identify a classical or established quantum baseline and the target conditions for comparison.

  2. Run controlled comparisons

    Develop circuits, simulate locally and compare compilation outputs under matched conditions. Distinguish structural circuit metrics from performance measured during execution.

  3. Preserve and share the context

    Connect selected circuit states, processing runs and execution evidence. Use projects to make relevant records and source snapshots available to collaborators.

Our learning community

Our research community

Users and participants from these laboratories, research centres and scientific organisations are part of the QuantGates learning and research community.

  • National Energy Technology Laboratory

  • Pacific Northwest National Laboratory

  • Fermi National Accelerator Laboratory

  • Oak Ridge National Laboratory

  • NASA, National Aeronautics and Space Administration

  • Texas Advanced Computing Center, The University of Texas at Austin

  • Center for Space Research, The University of Texas at Austin

  • Virginia Institute of Marine Science, William & Mary

  • African Institute for Mathematical Sciences Senegal

  • Institute of Aerospace Systems, RWTH Aachen University

  • Cincinnati Children’s Hospital Medical Center

  • Massachusetts General Hospital

  • Johns Hopkins Medicine