IBM’s quantum leap: “Loon” and “Nighthawk” could finally crack error-free computing, but when?

IBM has announced the launch of two new supercomputers, named “Loon” and “Nighthawk,” with the goal of achieving error-free computing and substantiating existing research.

Both computers use superconducting qubits (the fundamental unit of information in quantum computing), moving away from the flat and linear configurations used by most rivals.

Loon, in particular, is tipped by those at IBM to break the most complex codes by the end of the decade, by employing both vertical and horizontal information flow, which is a first in the industry.

By enabling the interlinked qubits to “talk” across layers, IBM is tackling one of the biggest bottlenecks in quantum computing, namely, reducing error rates across any isolated qubits.

This cements the company as a clear market leader in the quantum race, alongside other rivals such as Alphabet's Google, and Amazon.

Early testing with Nighthawk, meanwhile, revealed that it can handle over 30% more complex algorithms than its predecessors. IBM believes it can sidestep the “qubit scaling trap,” which in effect means less noise and more computational power being generated instead.

Is fault‑tolerant quantum by 2029 realistic?

The majority of the people on the street might need an explainer on quantum computing before they sit down to discuss probabilities, but most experts would agree that error correction is still years away.

IBM is rolling out a full modular quantum computer in 2026, which will combine separate units to store, share, and process quantum data as a unified system.

Hardware scaling will remain a significant bottleneck in the quantum field, and even if Loon and Nighthawk prove successful, it will be a challenging task for engineers to connect multiple modules reliably without signal degradation.

“I feel more comfortable than ever that a fault‑tolerant quantum computer will exist before the end of this decade. Jay Gambetta, IBM’s Vice President of Quantum, has previously said to the Wall Street Journal.

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