Universities

Connect quantum education
with practical research

Connect mathematical understanding with practical quantum programming. QuantumClass supports structured learning, while Spinorio Lab provides a common workspace for coding, simulation and research.

The challenge

From mathematical concepts to working experiments

Learning quantum computing means connecting linear algebra, quantum states and measurement with the behaviour of an actual program. Students need to explain a circuit, implement it and interpret its results, while recognising the assumptions behind each step.

Teaching and student projects also involve practical setup: software dependencies, notebook environments, simulation tools and access to hardware. A connected learning and development environment helps keep attention on the scientific question as work becomes more advanced.

Learning and experimentation

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

QuantumClass

Build understanding with QuantumClass

Structured courses connect quantum foundations with implementation. Coding assignments and instructor feedback give learners opportunities to apply concepts and examine their reasoning.

  • Study the mathematics behind quantum states, gates, circuits and algorithms.
  • Implement quantum programs using Python, Qiskit and IBM quantum systems.
  • Work through graded assignments and use instructor feedback to improve understanding.
Explore QuantumClass

Spinorio Lab

Put the concepts to work in Spinorio Lab

Use JupyterLab with pre-installed quantum SDKs and scientific Python. Students and researchers can develop circuits, begin with local simulation and investigate their experiments in one workspace.

  • Start notebook work with Qiskit, Aer and other included quantum software tools.
  • Inspect captured circuit states, processing runs and available execution records.
  • Compile for a selected target and compare structural metrics with a standard baseline.
  • Organise selected records and source snapshots in projects with controlled access.

Automatic capture covers supported Qiskit-family activity. Remote hardware use depends on provider access and notebook authentication.

Explore Spinorio Lab

In practice

A practical path from teaching to research

Connect conceptual work, implementation and investigation through a sequence that can support coursework, student projects and research preparation.

  1. Establish the concepts

    Use structured lessons and mathematical exercises to develop the foundations. Ask learners to state what a circuit computes and what its measurements can show.

  2. Implement and inspect

    Move into notebook exercises and local simulation. Compare expected behaviour with observed results, then inspect circuit structure and compilation choices.

  3. Develop a research question

    Extend the work into a defined problem, choose evaluation criteria and preserve the records needed to explain the experiment to a supervisor or collaborator.

Our learning community

Our academic community

Users and participants from these universities, academic units, schools and colleges are part of the QuantGates learning and research community.

  • Yale University

  • University of California, Berkeley

  • University of Illinois Urbana-Champaign

  • Arizona State University

  • Augusta University

  • Australian National University

  • Brown University

  • California Institute of Technology

  • Cal Poly, Noyce School of Applied Computing, College of Engineering

  • Carnegie Mellon University

  • Columbia University

  • Constructor University, Formerly Jacobs University

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  • Cornell University

  • Drexel University

  • Duke University

  • Duquesne University

  • Embry-Riddle Aeronautical University

  • Federal University of São Carlos

  • George Washington University

  • Georgia Institute of Technology

  • Harvard University

  • Kansas State University

  • Kent State University

  • Kuwait University

  • Massachusetts Institute of Technology

  • McGill University

  • Miami University

  • New York University

  • Northwestern University

  • Northwest Missouri State University

  • Oakland University

  • Old Dominion University

  • Pennsylvania State University

  • Princeton University

  • Purdue University

  • Queen Mary University of London

  • Rutgers University

  • Stanford University

  • Stony Brook University

  • Technical University of Munich

  • University of Alberta

  • University of Arizona

  • University of British Columbia

  • University of Calgary

  • University of California, Davis

  • University of California, San Diego

  • University of California, Santa Barbara

  • University of Chicago

  • University of Colorado

  • University of Delaware

  • University of Florida

  • University of Georgia

  • University of Iowa

  • University of Maryland, College Park

  • University of Melbourne

  • University of Michigan

  • University of Minnesota

  • University of Nebraska Omaha

  • University of North Carolina at Charlotte

  • University of Pennsylvania

  • University of Texas at Austin

  • University of Toronto

  • University of Virginia

  • University of Washington

  • University of Wisconsin-Madison

  • Washington State University

  • Western Carolina University

  • Western Connecticut State University

  • Western Illinois University

  • Worcester Polytechnic Institute

Schools and colleges

Our learning community also includes participants from schools and colleges.

  • Cheney School

  • Mander Portman Woodward