resource-estimator

Solid

Quantum resource estimation skill for algorithm feasibility analysis

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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