Category: Error correction and logical qubits
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Harvard and QuEra run 48 protected qubits
A 280-atom machine scored up to an order of magnitude above unprotected qubits on test circuits. Commercial jobs need far more qubits.
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Google adds qubits and cuts errors by 4%
Google’s 49-qubit code erred 2.914% per cycle versus 3.028% for 17-qubit codes. Scaling helps, but hardware must still improve by at least 20%.
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QuEra’s atom bet reaches 99.5% accuracy
Harvard and QuEra hit 99.5% accuracy on up to 60 atoms at once, past the 99% error correction needs. A planning signal, not a usable machine yet.
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Sandia gives quantum buyers a real yardstick
Three basic operations on one Sandia ion stayed below the proven 6.7×10⁻⁴ error limit. Buyers can ask for certified error rates; linking qubits is next.
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Quantum memory needs quadrillions of qubits
Fast lookups in 8GB need quadrillions of qubits; a million qubits means about 3 years per lookup. Plans should not assume cheap quantum memory.
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Bigger is better for Google’s quantum chips
Each size step cut errors 2.14-fold, up to 101 qubits. It only stores data so far, but plans for useful machines now rest on a measurement.