LTM Becomes First Global Systems Integrator to Launch Function in IBM Quantum Functions Catalog with AI-QEM

Global technology services firm LTM (a Larsen & Toubro Group company) has deployed its proprietary AI-QEM (AI-powered Quantum Error Mitigation) software in the IBM Quantum Functions Catalog, becoming the first global systems integrator to publish a circuit function on the platform. Available to IBM Quantum Premium, Flex, and On-Prem Plan users via the ltm/ai-qem interface, the function integrates into Qiskit Estimator workflows to suppress hardware noise through classical deep-learning inference.

Physical quantum processors remain constrained by gate errors and environmental decoherence that bias expectation values as circuit depth and qubit counts increase. Conventional error-mitigation protocols such as zero-noise extrapolation (ZNE) and probabilistic error cancellation (PEC) compensate for noise by executing ensembles of modified circuits, introducing exponential sampling overheads that inflate quantum runtime costs.

LTM’s circuit-agnostic approach bypasses additional quantum sampling by decomposing observables into Pauli operators and applying trained classical neural networks to rescale each noisy expectation value (⟨P_i⟩_mitigated = ⟨P_i⟩_noisy / ζ_i). Across 80- to 150-qubit validation suites, the GCN-Transformer architecture recorded a mean absolute error (MAE) of 0.343, outperforming random-forest mitigation baselines. The launch is accompanied by an IBM Quantum tutorial covering Trotterized time evolution of the 2D tilted-field Ising model.