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M-PIT: Miniature packaged ion traps

Lead organisation: ColdQuanta UK Ltd. Partners: University of Oxford, NQCC Project summary: ColdQuanta, the University of Oxford and the NQCC will work together to develop a high-performance, miniature and self-contained ion-trap system. A new route for producing ion traps commercially will be achieved by integrating Oxford’s microfabricated 3D radio-frequency trap into ColdQuanta’s miniature vacuum packaging. […]

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

Lead organisation: QuantrolOx Ltd., Partners: University of Oxford, NQCC Project summary: This project aims to deliver an ultrafast simulator for semiconductor spin-qubit devices based on developments in classical machine learning, quantum software and quantum hardware. The simulator offers an offline solution for testing and developing qubit-control software when there is limited access to quantum hardware. […]

Photonic quantum time-bin processing for image recognition

Lead organisation: Orca Computing Limited, Partner: NQCC Project summary: ORCA Computing has developed a time-domain photonic quantum-computing system based on time-bin interferometry (TBI). The proof-of-concept aimed to use software simulation of ORCA’s hardware environment to model image recognition problems on an ORCA PT-series system. It also offered a feasibility assessment of the technology for further […]

Integrated photonics for ion trap quantum computing

Lead organisation: Duality Quantum Photonics Ltd., Partner: NQCC Project summary: This proof-of-concept explored the potential of thin-film lithium niobate as a versatile and future-proof material for photonics infrastructure in trapped ion quantum computing. The aim was to model, fabricate, and test photonic circuitry in lithium niobate to show that it can be used for the […]

Towards a quantum materials genome programme

Lead organisation: Phasecraft Ltd., Partners: STFC Scientific Computing Department (SCD), NQCC Project summary: Building on tools developed by Phasecraft, this project paved the way for an accessible database of quantum tools for modelling key materials. The vision for the database is to create a substantial core quantum-computing resource, comparable to the Materials Genome Initiative, that […]