Qubit Mapper

SkillDev tools

Qubit mapping and routing skill for hardware topology optimization

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 Qubit Mapper 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/qubit-mapper/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on mapping logical qubits to physical hardware while respecting connectivity constraints and minimizing SWAP overhead.

Capabilities

  • Initial qubit placement
  • SWAP gate insertion
  • Routing optimization algorithms
  • Topology-aware compilation
  • Noise-aware placement
  • Heavy-hex and grid topology support
  • Dynamic circuit routing
  • Parallel SWAP optimization

Usage Guidelines

  1. Topology Analysis: Understand target hardware connectivity graph
  2. Initial Placement: Use heuristics for initial logical-physical mapping
  3. Routing: Insert SWAPs to enable non-native interactions
  4. Optimization: Minimize SWAP count and circuit depth
  5. Noise Consideration: Prefer high-fidelity qubits and links

Tools/Libraries

  • Qiskit
  • pytket (t|ket>)
  • Cirq
  • BQSKit
  • NetworkX

Signals

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