The company becomes the first global systems integrator to publish a function in the catalog, offering error correction through AI-driven classical post-processing without additional quantum processing time.
LTM, a Larsen & Toubro Group company, has made its proprietary AI-powered Quantum Error Mitigation capability, AI-QEM, available in the IBM Quantum Functions Catalog. The company said it is the first global systems integrator worldwide to publish a function in the platform.
The IBM Quantum Functions Catalog provides partner-developed software services designed to simplify quantum computing workflows and help researchers and enterprises run experiments for algorithm development and application prototyping. AI-QEM is available as a circuit function, allowing eligible IBM Quantum users to integrate the capability directly into their Qiskit workflows.
Quantum computers are inherently vulnerable to noise and errors that can affect computational accuracy. Conventional error mitigation methods can require additional circuit executions, quantum processing time or auxiliary qubits, increasing the cost and complexity of experiments.
AI-QEM takes a different approach, using AI models to learn and correct device-specific error patterns through classical post-processing. According to LTM, this improves result accuracy without requiring additional quantum processing unit (QPU) time, repeated circuit executions or extra qubits.
“AI-QEM will allow IBM Quantum users to mitigate errors faster and with fewer resources as they develop quantum algorithms and applications.”
— Scott Crowder, Vice President, IBM Quantum Adoption and Business Development
The capability has been validated on IBM Quantum computers across different circuit sizes and complexities, including experiments involving more than 100 qubits.
Scott Crowder, Vice President, IBM Quantum Adoption and Business Development, said the integration strengthens the tools available to the wider quantum community by enabling users to mitigate errors with fewer resources.
LTM is also pursuing practical quantum applications across industries. Its initiatives include quantum optimisation for a global insurer, hybrid quantum machine learning for critical infrastructure operations and quantum-safe security programmes to help financial services and insurance organisations prepare for post-quantum cryptography.
The availability of AI-QEM through IBM’s catalog marks another step towards making quantum computing workflows more accessible and resource-efficient for enterprise experimentation.