Collaborative R&D

The NQCC collaborates in R&D projects with UK businesses and research groups that aim to develop key technologies in the quantum computing value chain.

Building the UK’s quantum computing capabilities

The NQCC is working with partners across industry, government and the research community to solve technology challenges and realise the benefits of quantum computers for social and economic development. Through our SparQ programme we engage with research institutions, companies, and government organisations to explore the potential of emerging quantum computers for tackling real-world applications.

Collaborative projects

Highlight Call on Quantum Computing:

Proof-of-concept projects 2022-23

Near-term quantum computing techniques to address operational healthcare use-cases

The project focussed on improving the efficiency of a variety of operational challenges in NHS healthcare provision.

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Data-driven reactivity prediction using computed quantum features for drug discovery

The project investigated a general approach where rich quantum-derived features can be used for downstream modelling without a significant understanding of reaction mechanisms.

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Quantum Monte Carlo radiation transport simulation

The project investigated the advantage offered by QC to make the runtime of Monte Carlo methods competitive with deterministic methods.

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Federated quantum machine learning for genomics data

The project investigated an FL solution implementation suitable for the NISQ hardware solutions with a particular focus on genomics datasets.

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Highlight Call on Quantum Computing:

Proof-of-concept projects 2021-22

Automated control software to tune, stabilise and optimise qubits

The project investigated possible routes for creating an automated control software system to tune, stabilise and optimise qubits.

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Towards a quantum materials genome programme

The project paved the way for an accessible database of quantum tools for modelling key materials.

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Integrated photonics for ion trap quantum computing

The project explored the potential of thin-film lithium niobate as a future-proof material for photonics infrastructure in trapped-ion QC.

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Photonic quantum time-bin processing for image recognition

The project aimed to use software simulation of ORCA’s hardware environment to model image recognition problems on an ORCA PT-series system.

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Commercialising Quantum Technologies:

Feasibility Studies Call 2021-22


Realistic machine learning based ultra-fast simulator for semiconductor spin qubit devices

The project aimed to deliver an ultrafast simulator for semiconductor spin-qubit devices based on developments in classical M/L, quantum S/W and H/W.

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M-PIT: Miniature packaged ion traps

The project investigated to develop a high-performance, miniature and self-contained ion-trap system.

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INTERCOM: A high-performance ion-photon interface for multi-core trapped-ion QC

The project explored a device to enable quantum information to be transferred through photonic links between remote ion traps providing a scalable architecture.

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