resource-estimator

name	resource-estimator
description	Quantum resource estimation skill for algorithm feasibility analysis
allowed-tools	["Bash","Read","Write","Edit","Glob","Grep"]
metadata	{"specialization":"quantum-computing","domain":"science","category":"simulation","phase":6}
graph	{"domains":["domain:quantum-computing"],"specializations":["specialization:quantum-computing"],"skillAreas":["skill-area:mathematical-reasoning","skill-area:np-hard-heuristics","skill-area:physics-simulation"],"workflows":["workflow:experiment-design"],"roles":["role:research-engineer","role:computational-scientist"]}

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