EduQit: Hands-on Quantum Computing Education through a Modular Quantum Kit

EduQit is an educational quantum computing kit designed for universities and academic institutions to teach quantum computing through direct interaction with real quantum hardware. Unlike cloud-only access or closed black-box systems, EduQit enables students and faculty to assemble, configure, calibrate, and operate a modular digital, analog, or bimodal (both digital and analog) quantum computer on-site as part of formal curricula, laboratory courses, and research training programs. The installation itself is conceived as a learning-by-doing educational process, guided by Qilimanjaro Quantum Tech and European technology providers, covering key topics such as cryogenics, control electronics, quantum processors, and system integration. To ensure continuity of teaching activities, EduQit combines local infrastructure with remote access to SpeQtrum (Qilimanjaro’s Quantum-as-a-Service), allowing students to program and experiment even outside laboratory sessions. EduQit transforms quantum computing education from a theoretical discipline into a practical engineering and systems training experience, preparing highly skilled talent for the emerging quantum industry.
EduQit: Hands-on Quantum Computing Education through a Modular Quantum Kit

Key Insights & References

Value proposition

A modular, hands-on quantum platform for real-world learning and talent creation.

Bottleneck of SOTA

University quantum education is largely limited to simulators or remote access to external systems. While effective for teaching algorithms, this approach overlooks the physical and engineering aspects of quantum computers, leading to a gap between academic training and industry needs.

Year Published

2025

Application Area

General

Quantum Computing

Operational Mode

Real-Time
(indicates that the quantum solution operates or provides results as events occur, suitable for applications where immediate or near-immediate feedback is required.)

Problem Domain

Optimization 

Solution type

Quantum algorithm on quantum hardware

Datatype for algorithms

Quantum data 

Hardware

NISQ

Plattform

Superconducting 

Current Status/ Technology Readiness

In deployment 

Algorithm

Runtime Scaling

Circuit depth

Number of shots
(for high fidelity)

Iterations
(to converge on a solution)

Number of qubits needed

Logical Qubits

Physical Qubits

Accuracy

Fidelities

Gate Fidelity

State Preparation Fidelity

Measurement Fidelity

Error Correction Threshold

Problem size and accuracy
the state-of-the-art classical solution
is able to solve

Problem Size

Accuracy

Solution Method

Computational Resources

Quantum Business Network

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