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claude-codescience

Babysitter backend-selector

Multi-backend comparison and selection skill for optimal hardware choice

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/quantum-computing/skills/backend-selector" ~/.claude/skills/a5c-ai-babysitter-backend-selector && rm -rf "$T"
manifest: library/specializations/domains/science/quantum-computing/skills/backend-selector/SKILL.md
tags
#quantum-computing#backend-comparison#hardware-selection#qiskit#provider-api#circuit-optimization
source content

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