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    Completed Consortium

    ADOPT-TEM: Anomaly Detection OPTimisation with Tensor Error Mitigation

    A proof of concept that applied Algorithmiq error mitigation to a Rigetti fraud detection method on NQCC hardware.

    Project data last updated 11 October 2026

    About this project

    Algorithmiq UK led the project with Rigetti UK and the NQCC. The Financial Conduct Authority was an observer. The team adapted Algorithmiq's tensor-network error mitigation to improve a hybrid quantum-classical fraud detection method developed by Rigetti.

    The work ran on Rigetti's 36-qubit system at the NQCC and tested a hybrid quantum and HPC workflow. It was awarded under the 2025 STFC Cross Cluster Proof of Concept SparQ call.

    Lead organisation

    Algorithmiq UK

    Company · London

    London subsidiary of quantum algorithms firm Algorithmiq; led ADOPT-TEM, an NQCC project using tensor error mitigation for fraud detection.

    Partners (2)

    Funders

    • NQCC

      Research organisation · Harwell

    In the news

    Quantum Zeitgeist articles naming the lead organisation or partners. They may not be about this project.

    All news for this project and its partners

    Sources

    1. NQCC: ADOPT-TEM (nqcc.ac.uk)
    2. NQCC: Collaborative R&D (SparQ proof of concept projects) (nqcc.ac.uk)
    3. Quantum Zeitgeist: Quantum Machine Learning Fights Financial Fraud (quantumzeitgeist.com)