Quantum machine learning is fake.

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Hybrid quantum computers are fake

Quantum computer's machine learning for designing semiconductors is fake, conducted by classical computers.

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

Quantum machine learning is just classical computer.

Today's useless quantum computers alone can do nothing.  Quantum machine learning and AI are conducted 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"

Only a classical computer was used in fake quantum machine learning.

↑ 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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