Alterlab Qiskit
技能 已验证 活跃Part of the AlterLab Academic Skills suite. IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
To enable users to leverage IBM's Qiskit quantum computing framework for research and development, targeting IBM Quantum hardware and Qiskit Runtime for production workloads.
功能
- Build quantum circuits with gates and measurements
- Transpile and optimize circuits for hardware
- Execute circuits on local simulators or IBM Quantum hardware
- Visualize circuits, results, and quantum states
- Access Qiskit algorithm libraries for optimization, chemistry, and ML
使用场景
- Targeting IBM Quantum hardware for quantum computations
- Working with Qiskit Runtime for production workloads
- Leveraging IBM's quantum optimization tools
- Implementing quantum algorithms for research in chemistry, ML, or optimization
非目标
- Using other quantum frameworks like Cirq or PennyLane
- Focusing on open quantum system simulations (use QuTiP)
- Providing general-purpose Python programming assistance
Execution
- info:Pinned dependenciesThe installation uses `uv pip install`, which is a modern package manager but does not explicitly guarantee pinned dependencies or a lockfile within the skill's context. Qiskit itself manages its dependencies.
安装
npx skills add AlterLab-IEU/AlterLab-Academic-Skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
Qiskit
99IBM quantum computing framework. Use when targeting IBM Quantum hardware, working with Qiskit Runtime for production workloads, or needing IBM optimization tools. Best for IBM hardware execution, quantum error mitigation, and enterprise quantum computing. For Google hardware use cirq; for gradient-based quantum ML use pennylane; for open quantum system simulations use qutip.
Embedding Strategies
100Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.
Aws Cdk Development
100AWS Cloud Development Kit (CDK) 专家,用于使用 TypeScript/Python 构建云基础设施。在创建 CDK 堆栈、定义 CDK 构造、实现基础设施即代码,或当用户提及 CDK、CloudFormation、IaC、cdk synth、cdk deploy,或希望以编程方式定义 AWS 基础设施时使用。涵盖 CDK 应用结构、构造模式、堆栈组合和部署工作流。
Fit Drift Diffusion Model
100Fit cognitive drift-diffusion models (Ratcliff DDM) to reaction time and accuracy data with parameter estimation (drift rate, boundary separation, non-decision time), model comparison, and parameter recovery validation. Use when modeling binary decision-making with reaction time data, estimating cognitive parameters from experimental data, comparing sequential sampling model variants, or decomposing speed-accuracy tradeoff effects into latent cognitive components.
Ui Ux Pro Max
100UI/UX design intelligence with searchable style, palette, typography, and chart databases. Use when designing UI components, choosing colors/fonts, reviewing code for UX issues, building landing pages, or implementing responsive layouts.
Google Tts
100Convert documents and text to audio using Google Cloud Text-to-Speech. Use this skill when the user wants to: narrate a document, read aloud text, generate audio from a file, convert text to speech, create a recording of documentation or analysis, create a podcast from a document, or use Google TTS/text-to-speech. Trigger phrases: "read this aloud", "narrate this", "create a recording", "text to speech", "TTS", "convert to audio", "audio from document", "listen to this", "generate audio", "google tts", "create a podcast".