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Backend selector

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/backend-selector

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 backend-selector

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What its author says it does

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Multi-backend comparison and selection skill for optimal hardware choice

SKILL.md

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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

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