Departments / Quantum Technologies
Quantum computing, algorithms, and quantum-AI research.
Quantitative finance problems recast for quantum methods — portfolio optimisation and risk models with many interacting variables.
Python · Quantitative finance fundamentals · QAOA / annealing · Optimisation + 3 more
The engineering layer beneath quantum AI — hybrid pipelines that split work between classical accelerators and quantum processors, and the tooling that makes them reproducible.
Python · Cloud fundamentals · Job orchestration · Qiskit / PennyLane SDKs + 3 more
Encoding images as quantum states — how visual data can be represented and classified on quantum hardware, and where that breaks down today.
Python · Quantum circuit design · Computer vision fundamentals · PennyLane or equivalent + 3 more
Molecular and materials simulation on quantum hardware — narrower and deeper than general quantum simulation, focused on electronic structure and binding.
Python · VQE · Electronic structure methods · Quantum chemistry fundamentals + 3 more
Noise is the reason quantum computers cannot yet do useful work at scale — this track studies error correction and mitigation on noisy intermediate-scale hardware.
Python · Quantum error correction · Noise modelling · NISQ-era constraints + 3 more
Combinatorial optimisation on quantum hardware — the class of problem where near-term quantum methods are closest to being genuinely useful.
Python · QAOA · QUBO / Ising formulation · Quantum annealing concepts + 3 more
The quantum counterpart to a language model — mapping grammatical structure onto entangled quantum states instead of learning it implicitly from data.
Python · Quantum circuit design · Lambeq or equivalent QNLP tooling · Linear algebra + 3 more
The intersection of quantum computing and cryptography — including post-quantum cryptography implications for systems like ours.
Cryptography fundamentals · Quantum computing basics · Research literature review · Technical writing + 1 more
Quantum communication protocols — quantum key distribution and related concepts — studied as theory and simulation, not physical implementation.
Quantum communication theory · Python · Linear algebra · Research literature review + 1 more
Simulating quantum systems classically — a distinct, foundational technique used before real quantum hardware is involved at all.
Python · Quantum simulation libraries (Qiskit Aer or equivalent) · Linear algebra · Benchmarking + 1 more
A broader research internship tracking the quantum-computing field — hardware, software, and applications — to inform our long-term research roadmap.
Research literature review · Quantum computing fundamentals · Technical writing · Critical evaluation + 1 more
Theory-leaning internship studying and implementing known quantum algorithms, for students strong in mathematics and theoretical computer science.
Quantum algorithms theory · Python · Linear algebra · Complexity analysis + 1 more