Labs

Quantum Computing Lab

The Quantum Computing Lab at AU-QUASAR is built to move students beyond simulation and into real experimental work. With resident quantum hardware on campus, cloud access to advanced IBM Quantum systems, and a hybrid compute environment for benchmarking, the lab creates a rare undergraduate experience grounded in hands-on execution, algorithm development, and research-led exploration.

The lab is designed for progressive immersion. Students begin with qubit preparation, measurement, gate operations, and entanglement studies, and gradually move towards quantum algorithms, error correction, post-quantum cryptography, noise mitigation, and thesis-grade experimentation on advanced systems.

Lab Infrastructure

Advanced Infrastructure for Real Quantum Work

Resident Quantum Hardware

On-campus 8-qubit and 16-qubit quantum processors, placing students among the few undergraduate cohorts globally with direct access to resident quantum hardware.

Cloud Access to IBM Quantum

Access to IBM Quantum Eagle (127-qubit) and IBM Quantum Heron processors through IBM Quantum Network membership.

Qiskit Development Environment

Qiskit-based workflows integrated with IBM Quantum backends so students can build and run circuits on real machines.

Post-Quantum Cryptography Workbench

NIST PQC candidate implementation toolkits including CRYSTALS-Kyber and CRYSTALS-Dilithium for hands-on experimentation in post-quantum security.

Hybrid Benchmarking Environment

A classical HPC cluster supports hybrid quantum-classical algorithm benchmarking, enabling rigorous comparison, testing, and optimisation.

Structured Lab Progression

How Students Progress Through the Lab Journey

Year 1 — Foundations Hardware

qubit state preparation and measurement on the 8-qubit processor. Single and multi-qubit gate operations. Bell state creation and entanglement verification. Error characterisation on real hardware.

Year 2 — Algorithms

Implementation of Grover’s and Shor’s algorithms, Variational Quantum Eigensolver experiments, quantum error correction codes such as Steane and surface code, and post-quantum cryptographic protocol implementation.

Year 3 — Research Projects

Hybrid quantum-classical system design, noise mitigation techniques, independent experiment design with faculty co-supervision, and preparation for first academic submissions.

Year 4 — Original Research

A thesis-grade experiment on the 16-qubit or cloud 127-qubit system, an industry or national lab collaborative project, conference presentation and/or journal submission, and patent filing support where applicable.

Student Outcomes

What This Means for Students

By the time a Quantum Computing student enters Year 3, they will already have executed experiments on real quantum hardware that many postgraduate students worldwide only access through simulators. Their work is not limited to classroom understanding; it begins to resemble publishable research practice.

As students advance, their lab notebooks evolve into structured research records, their experiments gain technical depth, and their learning translates into the kind of demonstrable capability expected in advanced research environments, deep-tech roles, and frontier graduate study.

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