Science

IBM and University of Chicago Run 70 Error-Corrected Logical Qubits on a Classically Intractable Task

IBM and University of Chicago researchers completed a quantum computation that leading classical methods could not practically reproduce, using 70 error-corrected logical qubits and finishing the task in about 15 minutes.

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By Dr. Priya Nair Health Tech Correspondent
August 31, 2026 / 4 min read

IBM and University of Chicago researchers have completed a quantum computation that leading classical methods could not practically reproduce, according to a result reported by ScienceDaily on August 30. The system used 70 error-corrected logical qubits and finished the task in roughly 15 minutes.

The Significance of Logical Qubits

Error-corrected logical qubits combine many physical qubits into a single reliable unit, protecting a computation from the noise that has historically limited quantum machines. Scaling to 70 logical qubits is a notable step because the overhead of error correction has been the main barrier between demonstration devices and machines capable of outrunning classical supercomputers on meaningful workloads.

A Classically Intractable Benchmark

The team selected a problem for which classical methods have no practical path, meaning the quantum machine did not compete against a viable classical alternative so much as open territory that conventional computers cannot reach at all. The result adds to a year in which multiple groups have pushed logical-qubit counts higher, including earlier demonstrations crossing the 1,000-logical-qubit mark on different hardware architectures.

What It Means for the Field

Researchers said the work moves the industry closer to fault-tolerant computation, where quantum machines could tackle problems in chemistry, materials science, and optimization that are out of reach for classical systems. IBM has made logical-qubit scaling a centerpiece of its quantum roadmap, and the collaboration with University of Chicago positions the Chicago region as a hub for error-correction research.

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