Research and innovation news

IBM (NYSE: IBM) has announced plans to invest more than $10 billion in quantum computing over the next five years. The investment will span research and development, capital expenditure, manufacturing scaling, ecosystem partnerships, and M&A. Together, these areas are designed to accelerate IBM's quantum roadmap beyond delivering the world's first large-scale, fault-tolerant quantum computer in 2029, and advance quantum leadership anchored in the United States.

Today, IBM and the U.S. Department of Commerce (DoC) announced a Letter of Intent (LOI) to build an American quantum chip, foundry securing the nation’s global quantum leadership and fueling the country’s growing quantum ecosystem. The CHIPS incentive from the DoC will support the research and development efforts of a new IBM company: Anderon, which will be America's first pure-play quantum foundry. This initiative represents one of the most significant commitments by the U.S. Government to date in quantum R&D to position the United States to manufacture most of the world’s quantum wafers.

Scientists at Cleveland Clinic, RIKEN, and IBM (NYSE: IBM) have used IBM quantum computers and two of the world’s most powerful supercomputers to simulate protein complexes spanning up to 12,635 atoms. These are the largest-known simulations of biologically meaningful molecules performed with quantum hardware yet, and signal that quantum computers are maturing into useful scientific tools which can help solve fundamental problems in biology, chemistry, and life sciences.

Tune in live Tuesday, May 5 at 8:30 a.m. ET as IBM (NYSE: IBM) CEO Arvind Krishna opens IBM Think 2026 and explains how AI is becoming the defining force in business, what it takes to lead, and how quantum computing is emerging as the next frontier.

IBM (NYSE: IBM) and the Dallara Group, a world-leading racing and high-performance vehicle manufacturer, today announced a collaboration to advance vehicle design and optimization using AI and explore the use of quantum computing. The work combines Dallara’s expertise in high-performance vehicle engineering with IBM’s leadership in AI for physics and quantum computing to investigate how to accelerate aerodynamic design and open a path to even more advanced simulation workflows.