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Data encoder

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/data-encoder

Classical data encoding skill for quantum machine learning applicationsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill data-encoder

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SKILL.md

1.5 KB, 177 tokens by cl100k_base, as published. Nobody here has run it

Data Encoder

Purpose

Provides expert guidance on encoding classical data into quantum states for machine learning applications, balancing expressiveness with circuit complexity.

Capabilities

  • Angle encoding
  • Amplitude encoding
  • IQP encoding
  • Hardware-efficient encoding
  • Encoding expressibility analysis
  • Data re-uploading strategies
  • Feature scaling for encoding
  • Encoding depth optimization

Usage Guidelines

  1. Feature Analysis: Understand data dimensionality and structure
  2. Encoding Selection: Choose encoding based on data type and qubit budget
  3. Scaling: Apply appropriate normalization for encoding method
  4. Depth Analysis: Balance encoding expressivity with circuit depth
  5. Verification: Validate encoded states capture relevant features

Tools/Libraries

  • PennyLane
  • Qiskit Machine Learning
  • Cirq
  • TensorFlow Quantum
  • NumPy

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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