Ansatz Designer

SkillMedia

Parameterized quantum circuit (ansatz) design skill for variational algorithms

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Ansatz Designer skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/quantum-computing/skills/ansatz-designer/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
ansatz-designer
Source
github.com/a5c-ai/babysitter