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Resource estimator

Skill a5c-ai/babysitter/library/specializations/domains/science/quantum-computing/skills/resource-estimator

Quantum resource estimation skill for algorithm feasibility analysisFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill resource-estimator

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

SKILL.md

1.5 KB, 184 tokens by cl100k_base, as published. Nobody here has run it

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

What ships with it

Read from the repository

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

Keep looking

Skills are one crate of 326,059. 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.