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Ansatz designer

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/ansatz-designer

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install
npx -y skills add a5c-ai/babysitter --skill ansatz-designer

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Parameterized quantum circuit (ansatz) design skill for variational algorithms

SKILL.md

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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

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