Quantum computers are useless for machine-learning, AI.

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Hybrid quantum computers are fake

(Fig.1)  Fake news hides the fact that quantum computer's machine learning is useless, conducted only by a classical computer.

Hybrid quantum computers for machine-learning are conducted just by classical computers.

The 2nd, 4th, last paragraphs of this hyped news (7/29/2025) say
"developed a quantum machine learning technique — a blend of artificial intelligence (AI) and quantum computing principles — that could change how microchips are made."  ← overhyped fake news

"Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods."  ← Hybrid quantum computers are just classical computers with No quantum advantage

"These findings demonstrate the potential (= still useless ) of [quantum machine learning =] QML for effectively handling high-dimensional, small-sample regression tasks in semiconductor domains"

Quantum computers are too useless to use for machine-learning, so only a classical computer was used after all.

↑ This research paper (= this-3rd-paragraph ) ↓

p.3 used only 5 (impractical) qubits (= one qubit can take 0 or 1 value, so still Not a quantum computer )

p.9-right-1st-paragraph says "QKAR Model: All QML (= quantum machine learning ) experiments were conducted on a classical simulator (Qiskit Aer) running on local hardware. While real quantum hardware was Not used"

↑ So this overhyped quantum computer's machine-learning or AI was just classical computer's simulation,  No real quantum computers (= too error-prone ) were used in this research, so No quantum advantage.

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