IBM announced that LG Electronics has joined its Quantum Network to advance the industry applications of quantum computing. By joining the network, IBM will provide LG access to its quantum computing systems, as well as to IBM's quantum expertise and Qiskit, open-source quantum information software development kit.

LG aims to explore applications of quantum computing in the industry to support big data, AI, connected cars, digital transformation, IoT, and robotics applications. LG can leverage quantum computing hardware and software advances and applications as they emerge, following IBM's quantum roadmap. By leveraging Quantum technology, LG will provide workforce training to its employees, permitting it to investigate how potential breakthroughs can be applied to its industry.

"Based on our open innovation strategy, we plan to use IBM Quantum to develop our competency in quantum computing," said Byoung-Hoon Kim, CTO and Executive Vice President of LG. "We aim to provide customers with value that they have not experienced so far by leveraging quantum computing technology in future businesses."

"We're happy to welcome LG Electronics to a growing quantum computing ecosystem in Korea at an exciting time for the region," said Jay Gambetta, IBM Fellow, and VP, Quantum Computing at IBM. "The relationship between IBM and LG Electronics will permit LG to explore new types of problems associated with emerging technologies and will help strengthen the quantum capabilities in Korea."

Quantum computing is well suited to help explore new approaches to solving problems like those in LG's open innovation strategy including big data, AI, connected cars, digital transformation, IoT, and robotics applications. There are more than 170 clients, including ‎ LG Electronics, Fortune 500 companies, start-ups, academic institutions, and research labs working with IBM Quantum technology to advance ‎quantum computing and explore practical applications. The Quantum team and clients are researching and exploring how quantum computing will help a ‎variety of industries and disciplines, including finance, energy, chemistry, materials science, ‎optimization, and machine learning, among many others.