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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)