Resource Estimator

Quantum resource estimation skill for algorithm feasibility analysis

a5c-ai Updated 1.7k repo stars

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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

a5c-ai/babysitter/tree/main/library/specializations/domains/science/quantum-computing/skills/resource-estimator commit 5ce384691e

Frequently asked questions

npx skillmds@latest add a5c-ai/resource-estimator