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IBM’s ‘Loon’ Chip Marks Major Step Toward Practical Quantum Computers by 2029

IBM has unveiled a new experimental quantum computing chip, dubbed “Loon,” that the company says achieves a critical milestone toward building useful, error-corrected quantum computers by 2029.

Quantum computers hold the potential to solve complex problems in chemistry, physics, and logistics that would take traditional supercomputers thousands of years to complete. However, the fragile quantum states that power these machines are notoriously prone to errors — a challenge that has long stood in the way of practical applications.

To address this, IBM in 2021 proposed an innovative approach to error correction, adapting algorithms originally developed to improve cellphone signal reliability. The method uses a hybrid system combining quantum and classical chips to stabilize qubits — the basic units of quantum computation.

According to Jay Gambetta, IBM Research director and IBM Fellow, the Loon chip was fabricated at the Albany NanoTech Complex in New York, using the same advanced semiconductor tools found in cutting-edge commercial fabs.

“Loon remains in early stages,” Gambetta said, “but it demonstrates a critical step toward error-corrected quantum computing that can outperform classical systems.”

IBM also introduced another chip, “Nighthawk,” which will be made available by the end of this year. The company expects Nighthawk to surpass classical computers on specific tasks by late 2026.

Analyst Mark Horvath of Gartner called the new design “very clever,” noting that the inclusion of quantum interconnections between qubits makes the chips harder to build but exponentially more capable.

IBM plans to make Nighthawk’s code openly available to researchers and startups, fostering a community-driven testing model to validate claims of quantum advantage — when quantum systems outperform classical ones.

IBM Targets Practical Quantum Computer by 2029, Reveals Roadmap for Larger Systems

IBM announced on Tuesday its goal to deliver a practical quantum computer by 2029, detailing the steps it will take to achieve this milestone. The company also plans to develop a much larger quantum system by 2033.

Quantum computers utilize principles of quantum mechanics to solve complex problems that classical computers could take thousands of years to address. However, current quantum machines dedicate significant resources to error correction, limiting their overall speed advantage.

IBM aims to build the “Starling” quantum computer at a new data center under construction in Poughkeepsie, New York. The system is expected to feature about 200 logical qubits—units of quantum information—enough to demonstrate computational advantages over classical systems.

Competing alongside tech giants Microsoft, Google, Amazon, and various well-funded startups, IBM confronts the challenge of qubit errors by innovating in error-correction algorithms. Since 2019, IBM has adopted a novel approach by designing error-correction methods suited to practical, buildable chips rather than purely theoretical designs.

Jay Gambetta, IBM’s vice president of quantum initiatives, emphasized that the company has resolved the fundamental science questions and now faces a significant engineering challenge to scale up quantum systems. “We’ve answered those science questions. You don’t need a miracle now,” he said. “Now you need a grand challenge in engineering.”

IBM plans to release a series of quantum systems between now and 2027, paving the way toward the more powerful machines targeted for 2029 and beyond.