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IBM, Google, Amazon, Microsoft Lock Horns In Billion-Dollar Race to Build Million-Qubit Quantum Computers And End A 40-Year Tech Dream

Quantum Breakthrough Momentum Builds

Google demonstrated significant progress with error correction capabilities late last year. “All the [remaining] engineering and scientific challenges are surmountable,” said Julian Kelly, head of hardware at Google Quantum AI, according to the FT report.

Scaling Challenges Remain Formidable

Current systems operate with fewer than 200 qubits—quantum computing’s basic building blocks. Industrial applications require scaling to 1 million qubits or more. Amazon’s Oskar Painter warned the engineering effort remains substantial, predicting useful quantum computers are “still 15-30 years away.”

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Error Correction Race Heats Up

Google leads in error correction demonstrations, using surface code technology requiring 1 million qubits for practical calculations. The company targets $1 billion in system costs through 10x component cost reductions.

IBM pivoted to low-density parity-check codes, claiming 90% fewer qubits needed than Google’s approach. However, this requires longer qubit connections—a technical challenge IBM claims to have recently solved.

Market Impact Accelerates

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