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For people, place, prosperity and planet, we deliver impact with measurement science

Quantum computing

Quantum Software
and Modelling

Advancing quantum algorithms through accurate simulation and modelling

We develop theory, algorithms, models, and open-source software to guide the development and benchmarking of emerging quantum technologies, with a particular focus on quantum computing. 

We work with over 20 industry partners and leading academic initiatives like the UK QCi3 hub to turn research into practical solutions for quantum computing. 

Our research is core part of NPL’s mission of providing assurance on emerging quantum technologies, supporting industry to bridge the gap between theoretical promise and practical application providing advantage for end users.

Our research focuses on four key areas: 

Quantum algorithms

Developing algorithms that make quantum computing useful for large scale real-world problems like materials science, chemistry, and AI.

Error
reduction

Quantum error correction and theoretical models to understand and reduce errors in quantum hardware.

Scaling with 
physics and AI

Combining machine learning, AI and physical models to scale up quantum technologies in a trustworthy way.

Performance benchmarks

Creating trustworthy quantum computing performance benchmarks for industry, customers, partners, and supply chain.

Our Quantum Software and Modelling team

Abhishek Agarwal

Abhishek Agarwal

Higher scientist

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Deep Lall

Deep Lall

PhD student [UoS]

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Hasan Sayginel

Hasan Sayginel

PhD student [UCL]

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Ivan Rungger

Ivan Rungger

Principal scientist / Team lead

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Lachlan Lindoy

Lachlan Lindoy

Senior scientist

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Tom Barker

Tom Barker

Scientist

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Weixi Zhang

Weixi Zhang

PhD student [UoE]

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Yannic Rath

Yannic Rath

Senior scientist

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By modelling quantum systems and validating algorithms, we help unlock breakthroughs in secure communications, advanced computing, and next-generation materials — shaping a future where quantum innovation solves real-world challenges for industry and society.

Cyrus Larijani - Head of Quantum Strategy - NPL

Our recent publications

Classical and quantum computing algorithms to probe quantum advantage  

Characterisation, mitigation, and correction of noise in quantum computers

Trustworthy AI for Quantum Technologies 

Performance benchmarks and metrics for quantum computers

 

Open software packages

We provide open-source tools to help researchers and industry test and improve quantum technologies: 

QCMet

A benchmarking suite that makes it easy to measure and compare the performance of quantum computers

Read the paper: Review and Collection of Metrics and Benchmarks for Quantum Computers.

pyTTN

A simulation library for modelling quantum systems efficiently.

Read the paper: An Open Source Toolbox for Open and Closed System Quantum Dynamics Simulations Using Tree Tensor Networks.

Contact us

For collaboration or general enquiries

For recruitment enquiries please email Ivan Rungger.

For press and media, please reach out to NPL Communications.