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Quantum computer useless
(Fig.1) Just making all 9 qubits 000000000 caused high error rate of 60%, which is useless, still Not a quantum computer, cannot calculate anything.

The recent overhyped fake news (12/7/2025) says the latest silicon-type quantum computer was very accurate with high qubit fidelity of 99.99% (= still too error-prone, far from practically-required fidelity ).
Even this latest research used only 11 useless silicon qubits (= one qubit takes only 0 or 1 value, so still Not a quantum computer ), contrary to the million-qubit hype.
↑ Just 11 qubits are useless, cannot calculate anything, and fall far short of millions of qubits required for a practical quantum computers ( this-4th-paragraph, this-last-paragraph ).
↑ This overhyped silicon-qubit research paper ↓
p.1-left-last-paragraph says -- Just 4 useless qubits
"So far,
however, no more than four interconnected spin qubits were used" Silicon-type quantum computers are useless with only 4 qubits (= each nuclear or electron spin magnetic moment's up or down is used as a qubit's 0 or 1 ).
p.5-right-last says
"In the ideal GHZ state, measurement outcomes are equally distributed
between the states in which all nuclear spins are either down (⇓…⇓)
or up (⇑…⇑)"
p.6-left-1st-paragraph says -- 8 error-prone qubits
"Because a fidelity
greater 50% (= error rate 50%, too error prone ) is sufficient to witness genuine N-qubit entanglement,
the data demonstrate that entanglement (= just meaning qubits manipulation ) is maintained for up to eight
nuclear spins" ← Just 8 nuclear spin qubits were useless, still Not a quantum computer.
p.5-Fig.4e shows -- Too high error rate
Just making all 9 qubits 0 (= 000000000 ) or ⇑ (= ⇑⇑⇑⇑⇑⇑⇑⇑⇑ = all 9 nuclear spins are up ) or 1 (= 111111111 ) or ⇓ (= ⇓⇓⇓⇓⇓⇓⇓⇓⇓ = all 9 nuclear spins are down ) without computation is called GHZ states, which caused too high error rate of 60% (= state fidelity is 40%, error rate = 100% - fidelity ).
↑ Flipping just 9 qubits or 9 nuclear spins caused too high error rate of 60%, which is useless, too error-prone, cannot calculate anything, contrary to the above overhyped fake news.

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