Installable skillMIT

Backend Selector

Multi-backend comparison and selection skill for optimal hardware choice

BY a5c-aiUPDATED Oct 30, 2026
INTENDED FOR✳Claude Code>_Codex◈OpenClaw↗CursorInstall in a listed agent.

instructions.md

---
name: backend-selector-636f9f785070
description: Multi-backend comparison and selection skill for optimal hardware choice
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
metadata:
  specialization: quantum-computing
  domain: science
  category: hardware-integration
  phase: 6
graph:
  domains: [domain:quantum-computing]
  specializations: [specialization:quantum-computing]
  skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:statistical-analysis]
  workflows: [workflow:experiment-design]
  roles: [role:research-engineer, role:computational-scientist]
---

# 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
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.