Resource Estimator
SkillDev toolsQuantum resource estimation skill for algorithm feasibility analysis
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Resource Estimator skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/quantum-computing/skills/resource-estimator/SKILL.md and read by ahel’s review.
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
- Algorithm Analysis: Decompose algorithm into quantum operations
- Gate Counting: Count gates by type (Clifford, T, etc.)
- Overhead Calculation: Apply error correction overhead factors
- Timeline Projection: Estimate execution time on target hardware
- Feasibility Assessment: Compare with hardware capability roadmaps
Tools/Libraries
- Azure Quantum Resource Estimator
- Qiskit
- Q#
- Custom estimation tools
- Spreadsheet models
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
resource-estimator- Source
- github.com/a5c-ai/babysitter