---
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


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Development & Engineering, Product Management
Roles: Backend Developer, Data Engineer, Growth Product Manager, ML / AI Engineer, Product Manager
Specialties: Specialty not specified
Tools: Cirq, Qiskit, Pytket, Amazon Braket, Azure Quantum Sdk
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: a9af3833f0c9fd4c8a43599e4c368f234e4384b11b96e0467adaebd18af158f6