necatiincekara/review-circuit
.claude/skills/review-circuit/SKILL.md
Quantum circuit implementasyonunu uzman gozuyle incele. Barren plateau, expressivity, gradient flow, gate optimization analizi. quantum-ml-reviewer agent'ini kullanir.
development
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add necatiincekara/Quanvolutional-Neural-Network review-circuitInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: Apr 16, 2026, 3:35 PM79.0s1 file scanned
SKILL.md
- name:
- review-circuit
- description:
- Quantum circuit implementasyonunu uzman gozuyle incele. Barren plateau, expressivity, gradient flow, gate optimization analizi. quantum-ml-reviewer agent'ini kullanir.
- disable-model-invocation:
- true
Quantum Circuit Review
Quantum circuit implementasyonunu derinlemesine incele. quantum-ml-reviewer agent'ini kullanir.
Adimlar
-
Hedefi belirle (
$ARGUMENTSveya kullaniciya sor):base->src/model.py(QuanvLayer, V4/V6)trainable->src/trainable_quantum_model.py(V7+)improved->improved_quantum_circuit.py- Veya belirli bir dosya yolu
-
Circuit dosyalarini oku ve yapıyı anla
-
quantum-ml-reviewer agent'ini cagir - su konulari incelet:
- Ansatz secimi uygunlugu
- Entanglement yapisi ve expressivity
- Barren plateau riski
- Gradient computation yontemi (adjoint vs parameter-shift)
- Gate sayisi ve circuit depth optimizasyonu
-
Raporu sun:
- Guclu yonler
- Kritik sorunlar (duzeltilmesi gereken)
- Optimizasyon onerileri (kodla)
- Best practice uyumu
Analiz Kontrol Listesi
- [ ] Qubit sayisi yeterli mi? (4 qubit - 44 sinif icin)
- [ ] Encoding stratejisi uygun mu? (Angle vs Amplitude)
- [ ] Entanglement: linear, circular, all-to-all?
- [ ] Rotation gate secimi: RY, RZ, Rot?
- [ ] Residual path var mi? (V6 collapse onlemi)
- [ ] Initialization stratejisi barren plateau'ya karsi uygun mu?
- [ ] Feature map boyutu information bottleneck yaratıyor mu?
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