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claude-codescience

Babysitter resource-estimator

Quantum resource estimation skill for algorithm feasibility analysis

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 "$T/library/specializations/domains/science/quantum-computing/skills/resource-estimator" ~/.claude/skills/a5c-ai-babysitter-resource-estimator && rm -rf "$T"
manifest: library/specializations/domains/science/quantum-computing/skills/resource-estimator/SKILL.md
tags
#quantum-estimation#algorithm-analysis#resource-planning#quantum-computing#simulation-tools
source content

Resource Estimator

Purpose

Provides expert guidance on estimating quantum resources required for algorithm execution, enabling feasibility analysis and hardware roadmap comparison.

Capabilities

  • Qubit count estimation
  • Circuit depth analysis
  • T-gate counting
  • Error correction overhead
  • Runtime projection
  • Hardware roadmap comparison
  • Logical-to-physical overhead
  • Space-time volume calculation

Usage Guidelines

  1. Algorithm Analysis: Decompose algorithm into quantum operations
  2. Gate Counting: Count gates by type (Clifford, T, etc.)
  3. Overhead Calculation: Apply error correction overhead factors
  4. Timeline Projection: Estimate execution time on target hardware
  5. Feasibility Assessment: Compare with hardware capability roadmaps

Tools/Libraries

  • Azure Quantum Resource Estimator
  • Qiskit
  • Q#
  • Custom estimation tools
  • Spreadsheet models