Digital Catapult's third quantum access cohort adds two banks and a rare disease project; the six month programme runs on ORCA Computing's PT 2 photonic machine at the UK's National Quantum Computing Centre (NQCC).
NatWest, one of Britain's biggest high-street banks, will run its transaction network through a quantum computer to test whether the technology can detect fraud and illicit activity across the bank's transaction flows. The trial marks the first time a UK high-street bank has joined a public quantum access programme, and the clearest signal yet that the country's quantum effort is being measured against operational data rather than research benchmarks.
The programme is Digital Catapult's third Quantum Technology Access Programme (QTAP) cohort, run with the National Quantum Computing Centre's SparQ initiative. Eleven UK organisations have been admitted to work on two streams, combinatorial optimisation for logistics, scheduling and resource allocation, and quantum machine learning for pattern discovery across complex datasets, according to the Digital Catapult press release. The cohort runs through February 2027.
Where earlier QTAP rounds gave companies sandbox time to test optimisation problems on quantum hardware, the third round puts regulated control surfaces on the table: a live bank's fraud-detection pipeline, a rail-safety body's signal-classification system, a clinical pathway model for a named rare disease. Each carries a cost if the model is wrong, so the cohort tests whether UK quantum has moved past research access.
Every participant works on ORCA Computing's PT-2, a photonic quantum computer hosted at NQCC's Harwell campus. Photonic machines encode information in single particles of light, and ORCA's design is intended to slot into existing data-centre fibre. PT-2 is not a general-purpose quantum computer on the scale of IBM's superconducting systems or IonQ's trapped-ion hardware. It is the resource Digital Catapult and NQCC have chosen for this programme, and the choice limits what the cohort can show: it tests how the technology fits each industry's problem, not how ORCA's machine compares with competing platforms.
NatWest will test whether a quantum model can spot fraud and illicit activity across large transaction networks, work the bank describes as a first for a UK high-street bank in a public quantum access programme. CTA Fintech Solutions is the second financial-services participant. Its problem is different: optimising transaction flow between legacy banking systems and newer cloud-based finance and industrial ledgers. Together they make up the programme's first financial-services pair, and they are running on operational rather than experimental data.
Health Innovation North West Coast will apply quantum methods to diagnostic modelling, treatment pathway selection and outcome forecasting for thrombotic thrombocytopenic purpura (TTP), a rare blood-clotting disorder. TTP is rare enough that classical machine learning has limited training data, which is the structural reason quantum approaches are being tested on it. The work sits inside an NHS innovation body, so any model the cohort produces will be evaluated against an existing clinical workflow rather than a synthetic dataset.
The Rail Safety and Standards Board is using quantum machine learning to classify how trains approach signals, a safety-critical pattern-recognition task. TCS Innovations is using the programme to refine parameters for a real-time logistics execution engine. Bandarlog.dev is working on early-stage anomaly detection for aerospace and transport assets. Pixon Chemie rounds out the visible list, with the rest of the eleven to be confirmed against Digital Catapult's own release.
The cohort has a six-month window on a single photonic machine, no commitment to production deployment, and no published benchmark for how quantum fraud detection compares with the classical machine-learning systems banks already run. If the cohort produces no head-to-head number on a realistic transaction volume, the capability-jump framing collapses back to research access. The next test is whether the cohort as a whole produces a classical-versus-quantum comparison on at least one of its regulated control surfaces. The Digital Catapult announcement puts the programme's close at February 2027.