Agent Skills: Backend Selector

Multi-backend comparison and selection skill for optimal hardware choice

hardware-integrationID: a5c-ai/babysitter/backend-selector

Install this agent skill to your local

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

Skill Files

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plugins/babysitter/skills/babysit/process/specializations/domains/science/quantum-computing/skills/backend-selector/SKILL.md

Skill Metadata

Name
backend-selector
Description
Multi-backend comparison and selection skill for optimal hardware choice

Backend Selector

Purpose

Provides expert guidance on comparing and selecting quantum backends across multiple providers based on circuit requirements and performance criteria.

Capabilities

  • Backend capability comparison
  • Queue time estimation
  • Cost optimization
  • Fidelity-based ranking
  • Connectivity analysis
  • Job prioritization
  • Provider API integration
  • Historical performance tracking

Usage Guidelines

  1. Requirements Analysis: Determine circuit qubit and gate requirements
  2. Backend Query: Fetch available backends from all providers
  3. Filtering: Eliminate backends that cannot support circuit
  4. Ranking: Score backends by fidelity, queue time, and cost
  5. Selection: Choose optimal backend for execution

Tools/Libraries

  • Qiskit
  • Amazon Braket
  • Cirq
  • Azure Quantum SDK
  • pytket