IBM and Google report they will build industrial-scale quantum computers containing one million or more qubits by 2030, following IBM’s June publication of a quantum computer blueprint addressing previous design gaps and Google’s late-2023 breakthrough in scaling error correction.
Current experimental systems contain fewer than 200 qubits. IBM encountered crosstalk interference when scaling its Condor chip to 433 qubits and subsequently adopted low-density parity-check code requiring 90% fewer qubits than Google’s surface code method, though this requires longer connections between distant qubits.
Google plans to reduce component costs tenfold to achieve its $1 billion target price for a full-scale machine. Amazon Web Services quantum hardware executive Oskar Painter told FT he estimates useful quantum computers remain 15-30 years away, citing engineering challenges in scaling despite resolved fundamental physics problems.
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