name: resource-estimator description: Quantum resource estimation skill for algorithm feasibility analysis allowed-tools:

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• Grep metadata: specialization: quantum-computing domain: science category: simulation phase: 6

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