backend-selector

Solid

Multi-backend comparison and selection skill for optimal hardware choice

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# Backend Selector ## Purpose Provides expert guidance on comparing and selecting quantum backends across multiple providers based on circuit requirements and performance criteria. ## Capabilities - Backend capability comparison - Queue time estimation - Cost optimization - Fidelity-based ranking - Connectivity analysis - Job prioritization - Provider API integration - Historical performance tracking ## Usage Guidelines 1. **Requirements Analysis**: Determine circuit qubit and gate requirements 2. **Backend Query**: Fetch available backends from all providers 3. **Filtering**: Eliminate backends that cannot support circuit 4. **Ranking**: Score backends by fidelity, queue time, and cost 5. **Selection**: Choose optimal backend for execution ## Tools/Libraries - Qiskit - Amazon Braket - Cirq - Azure Quantum SDK - pytket

Details

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

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