LTM's AI-Powered Quantum Error Mitigation Capability Debuts In IBM Catalog

LTM, a Larsen & Toubro G roup company, has become the first Global Systems Integrator (GSI) worldwide to publish a function in the IBM Quantum Functions Catalog with the launch of its proprietary artificial intelligence-powered Quantum Error Mitigation (AI-QEM) capability.

The technology is designed to improve the accuracy of quantum computing results by identifying and correcting device-specific errors through AI models and classical post-processing.

The AI-QEM capability is available as a circuit function in the IBM Quantum Functions Catalog, enabling users with eligible IBM Quantum access plans to integrate the technology directly into their Qiskit workflows. The catalog features partner-developed quantum software services aimed at simplifying quantum computing processes and supporting research, algorithm development and application prototyping.

Quantum computers are inherently vulnerable to noise and errors that can affect computational outcomes. Conventional error mitigation methods often require additional circuit executions, quantum processing time or auxiliary qubits.

LTM's AI-QEM approach seeks to overcome these limitations by learning device-specific error patterns and correcting them through classical computing. The company said the technology can improve result accuracy without requiring additional quantum processing unit (QPU) time, repeated circuit executions or extra qubits, potentially reducing the cost and complexity of quantum experiments.

The capability has been validated on IBM Quantum computers across different circuit sizes and complexities, including experiments involving more than 100 qubits, LTM said. Scott Crowder, Vice President of IBM Quantum Adoption and Business Development, said the addition of AI-QEM reflected the growing contribution of ecosystem partners in expanding tools available to the quantum computing community. He said the function would enable IBM Quantum users to mitigate errors faster and with fewer resources while developing algorithms and applications.

LTM is also working on quantum optimisation solutions for the insurance sector, hybrid quantum machine learning for critical infrastructure operations and quantum-safe security programmes to help financial services and insurance companies prepare for the transition to post-quantum cryptography.