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Quantum computers just got dramatically more reliable, and almost nobody noticed
Hardware

Quantum computers just got dramatically more reliable, and almost nobody noticed

· 1 min read

Key takeaways

  • Microsoft's new Majorana qubit design delivers 1,000x better switching reliability
  • Multiple vendors now have nearly 100 logical qubits, the threshold for useful machines
  • Error correction is now fast enough to fix mistakes mid-calculation
  • The question has shifted from "if" quantum computing works to "when"

The dirty secret of quantum computing has always been that the machines are flaky. Qubits, the building blocks, fall apart if you so much as look at them wrong. That's why every "quantum breakthrough" headline of the last decade came with an asterisk.

The asterisk is shrinking fast.

What just happened

At its Build conference this month, Microsoft announced an updated material stack for its Majorana qubit design that it says delivers a 1,000x improvement in switching reliability. In plain English: a component that used to fail constantly now barely fails at all.

And it's not just Microsoft. Across the industry in 2026:

  • Multiple vendors now report logical qubit counts approaching 100, the threshold where genuinely useful machines start to come into view.
  • Error-correction decoding, the process that catches and fixes qubit mistakes, has dropped to under a microsecond, fast enough to fix errors while a calculation is still running.
  • Quantinuum's trapped-ion systems are holding error rates below 1 in 10,000.

Why it matters

quantum computer that can fix its own mistakes faster than it makes them stops being a physics experiment and starts being a computer. That line is being crossed now, quietly, in engineering labs rather than press conferences.Error correction is the whole game. A

Nobody can say exactly when these machines start breaking encryption or designing drugs. But the question has changed from "if" to "when", and this year the "when" got noticeably closer. Worth keeping half an eye on, even while the AI news hogs every headline.

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