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Babysitter braket-executor

Amazon Braket integration skill for multi-vendor quantum hardware access and hybrid workflows

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/quantum-computing/skills/braket-executor" ~/.claude/skills/a5c-ai-babysitter-braket-executor && rm -rf "$T"
manifest: library/specializations/domains/science/quantum-computing/skills/braket-executor/SKILL.md
tags
#quantum-execution#braket-integration#hybrid-jobs#quantum-hardware#aws-quantum
source content

Braket Executor

Purpose

Provides expert guidance on executing quantum circuits across multiple hardware vendors using Amazon Braket, enabling hybrid quantum-classical workflows in the AWS ecosystem.

Capabilities

  • Circuit execution on IonQ, Rigetti, OQC hardware
  • Hybrid job execution with classical processing
  • Quantum annealing on D-Wave
  • Local simulator execution
  • Cost estimation and job management
  • Result storage in S3
  • Batch job submission
  • Noise simulation

Usage Guidelines

  1. Device Selection: Choose appropriate hardware based on circuit requirements and availability
  2. Circuit Translation: Use Braket SDK to build or import circuits from other frameworks
  3. Hybrid Jobs: Configure containerized hybrid workflows with classical compute
  4. Cost Management: Monitor and estimate costs before job submission
  5. Result Retrieval: Access results from S3 with proper error handling

Tools/Libraries

  • Amazon Braket SDK
  • AWS Lambda
  • Amazon S3
  • Braket Hybrid Jobs
  • Braket Local Simulator