LTM Integrates AI Tool to Fix Quantum Computing Errors on IBM

Technology services company LTM has added its AI-powered Quantum Error Mitigation (AI-QEM) capability to IBM's Quantum Functions Catalog. The company said it was the first global systems integrator (GSI) to publish a function in the catalogue.

LTM said users with eligible IBM Quantum access plans could apply AI-QEM directly within their Qiskit workflows. The capability uses AI models to learn device-specific error patterns and estimate corrections through classical post-processing, according to the company.

LTM said AI-QEM improves result accuracy without additional quantum processing unit time, repeated circuit executions or extra qubits, which some conventional error mitigation techniques require.

Other providers in IBM's catalogue offer related tools, including Q-CTRL's AI-driven error suppression, Qedma's QESEM error mitigation function, and Algorithmiq's tensor-network-based approach.

The company said it had tested AI-QEM on IBM Quantum computers across circuits of different sizes and complexities, including experiments involving more than 100 qubits. It did not disclose the accuracy improvements achieved or provide comparisons with other error mitigation methods.

IBM's listing says AI-QEM uses circuit, backend and observable characteristics to learn correction factors. The function uses classical inference to mitigate noisy quantum expectation values.

"The AI-QEM function will allow our users to mitigate errors faster and with fewer resources, in their efforts to develop algorithms and applications," Scott Crowder, Vice President, IBM Quantum Adoption and Business Development, said in a statement.

LTIMindtree had earlier joined the IBM Quantum Network as its first Indian GSI.