Agent-Skills.md

Agent Skills: Ansatz Designer

Parameterized quantum circuit (ansatz) design skill for variational algorithms

circuit-designID: a5c-ai/babysitter/ansatz-designer

Repository

a5c-ai/babysitter
a5c-aiLicense: MIT
244

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pnpm dlx add-skill https://github.com/a5c-ai/babysitter/tree/HEAD/plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/ansatz-designer

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plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/ansatz-designer/SKILL.md

Skill Metadata

Name
ansatz-designer
Description
Parameterized quantum circuit (ansatz) design skill for variational algorithms

Ansatz Designer

Purpose

Provides expert guidance on designing parameterized quantum circuits (ansatze) for variational quantum algorithms, balancing expressibility with trainability.

Capabilities

  • Hardware-efficient ansatz generation
  • UCCSD ansatz construction
  • ADAPT-VQE ansatz building
  • Expressibility analysis
  • Barren plateau detection
  • Custom ansatz templates
  • Entanglement structure design
  • Layer depth optimization

Usage Guidelines

  1. Problem Analysis: Determine ansatz requirements based on target Hamiltonian
  2. Architecture Selection: Choose between hardware-efficient and problem-inspired ansatze
  3. Expressibility Testing: Evaluate ansatz capacity to represent target states
  4. Trainability Assessment: Check for barren plateau indicators
  5. Hardware Adaptation: Modify ansatz for target hardware connectivity

Tools/Libraries

  • Qiskit Nature
  • PennyLane
  • Cirq
  • TensorFlow Quantum