IBM (IBM.N) announced that it has successfully executed a quantum computing error correction algorithm using commercially available chips from Advanced Micro Devices (AMD.O), a significant step toward making quantum computing more practical and scalable.
Quantum computers operate using qubits, which can represent multiple states at once — allowing them to process enormously complex calculations, such as modeling atomic reactions or optimizing massive datasets. But qubits are notoriously unstable, leading to frequent computational errors that can derail results. The new algorithm aims to correct these errors efficiently, bridging the gap between experimental setups and viable commercial systems.
In a research paper set for release on Monday, IBM scientists show that their quantum error correction system can run in real time on AMD’s field programmable gate array (FPGA) chips — hardware commonly used in advanced computing and signal processing. According to Jay Gambetta, IBM’s head of quantum research, this development “proves that our algorithm works in the real world and can operate on a readily available chip that’s not ridiculously expensive.”
Even more striking, the implementation is reportedly ten times faster than required, giving IBM a technological lead as it competes with Microsoft (MSFT.O) and Google (GOOGL.O) in the race toward functional quantum computing.
The achievement accelerates IBM’s roadmap for its next-generation quantum computer, Starling, which it aims to complete by 2029. Gambetta said the progress came a year ahead of schedule, suggesting the company’s broader efforts to commercialize quantum computing are advancing faster than expected.
Following the announcement, IBM shares jumped 7.9% to $397.46, while AMD shares rose 7.6% to $252.92, reflecting investor enthusiasm over the collaboration’s potential to unlock new frontiers in computing power.
