CEQT Center of Excellence in Quantum Technology

Research

Four pillars, not a list of laboratories

What CEQT produces is algorithms, code and simulations. Those do not decompose into rooms, so our research is organised around bodies of method.

Why simulation is the hard part16 × 2ⁿ bytes — the exact state of n qubits, at double precision
Memory needed to hold the state of n qubits Exponential growth, drawn on a logarithmic scale so it reads as a straight line: storing the exact state of n qubits takes 16 times 2 to the n bytes. At 50 qubits that is about 16 petabytes; at 80, more than any classical store that exists. 10310610910121015101810211024 16 MB16 TB16 PB16 EB16 YB120406080number of qubits n Bytes to store the exact state of n qubits
Show the numbers
Memory for the exact state of n qubits
QubitsMemory
1016 kB
2016 MB
3016 GB
4016 TB
5016 PB
6016 EB
7016 ZB
8016 YB
CEQT capability stack Problem domains at the top; four research pillars in the middle — algorithm design, simulation, software and platforms, foundations; execution substrates at the bottom. PROBLEM DOMAINS cybersecurity · finance · logistics · chemistry & materials · energy · machine learning · complex systems PILLAR 1 Algorithm design PILLAR 2 Simulation PILLAR 3 Software & platforms PILLAR 4 Foundations Complexity theory QUBO formulation Adiabatic & annealing Hybrid classical–quantum Quantum machine learning Quantum-inspired methods Quantum many-body dynamics Agent-based simulation Computational chemistry Materials modelling Digital twins Quantum software stack Quantum Software Park Digital–quantum integration Open-source tooling Compute access Quantum information theory Computability & complexity Fractal & fractional methods Mathematics of quantum computation EXECUTION SUBSTRATES gate-model QPUs · quantum annealers · classical HPC and state-vector simulators · digital–quantum hybrid hardware neutral-atom and cold-atom platforms — operated with RCQT
The capability stack. Problem domains sit above the pillars; execution substrates sit below them. The pillars are the part that is ours — the layer that turns a problem into something a machine can run.
Pillar 1 — Algorithm design
Complexity theory, QUBO formulation, adiabatic and annealing algorithms, hybrid classical–quantum methods, quantum machine learning, and quantum-inspired classical algorithms.
Pillar 2 — Simulation
Quantum many-body dynamics, agent-based and complex-systems simulation, computational chemistry and materials modelling, digital twins.
Pillar 3 — Software & platforms
The quantum software stack, the Quantum Software Park, digital–quantum integration, open-source tooling, and access to compute.
Pillar 4 — Foundations
Quantum information theory, computability and complexity, fractal and fractional methods, and quantum approaches in econometrics and finance.

The pillars in detail

Pillar 1

Algorithm design

Turning hard problems into forms a quantum machine can attack.

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Pillar 2

Simulation

Modelling systems that are too entangled, too many-bodied or too adaptive to solve directly.

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Pillar 3

Software & platforms

The layer between an algorithm on paper and an algorithm that runs.

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Pillar 4

Foundations

The mathematics that decides what is computable at all.

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Also in this section

People

Research groups

The groups and laboratories that sit inside the four pillars, and what each works on.

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Portfolio

Projects

The centre’s on-going research projects, and the proposals behind them.

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Problems

Capability matrix

Which pillar leads on which class of problem, and what sits behind each claim.

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Last updated 14 September 2026.