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Backend selector

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

Multi-backend comparison and selection skill for optimal hardware choiceFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill backend-selector

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.4 KB, 177 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.