S Skillteca
Receber por email
Explorar Categorias Coleções Newsletter
← Voltar para o catálogo

pennylane-hybrid-executor

Automação Autor: a5c-ai

Habilidade de integração PennyLane para aprendizado de máquina quântico-clássico híbrido e algoritmos variacionais.

1.4kestrelas
Atualizado há 4 meses
Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add a5c-ai/babysitter

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/pennylane-hybrid-executor/svg)](https://www.skillteca.com.br/skills/pennylane-hybrid-executor)

Skills relacionadas

Ver todas de Automação →

MoneyPrinterTurbo

90.3k

利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.

Automação por harry0703

weather-svg-creator

58.4k

Creates an SVG weather card showing the current temperature for Dubai. Writes the SVG to orchestration-workflow/weather.svg and updates orchestration-workflow/output.md.

Automação #ai por shanraisshan

asana-automation

41.2k

Automate Asana tasks via Rube MCP (Composio): tasks, projects, sections, teams, workspaces. Always search tools first for current schemas.

Automação #git #github por sickn33

payment-integration

41.2k

Integrate Stripe, PayPal, and payment processors. Handles checkout flows, subscriptions, webhooks, and PCI compliance. Use PROACTIVELY when implementing payments, billing, or subscription features.

Automação #git #github por sickn33

Alerta por categoria

Receba novas skills de Automação toda segunda

1 email curto, só com as skills novas de Automação. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

PennyLane Hybrid Executor

Purpose

Provides expert guidance on hybrid quantum-classical workflows using PennyLane, enabling seamless integration of quantum circuits with classical machine learning frameworks.

Capabilities

  • Quantum node (QNode) definition and execution
  • Automatic differentiation for quantum circuits
  • Device-agnostic circuit execution
  • Integration with ML frameworks (PyTorch, TensorFlow, JAX)
  • Variational algorithm optimization
  • Parameter shift rule gradients
  • Shot-based and analytic differentiation
  • Multi-device workflow orchestration

Usage Guidelines

  1. QNode Definition: Create differentiable quantum functions with device specification
  2. Gradient Computation: Select appropriate differentiation method for the use case
  3. Framework Integration: Seamlessly combine with PyTorch, TensorFlow, or JAX models
  4. Optimization: Use classical optimizers to train variational circuits
  5. Device Switching: Test on simulators before deploying to hardware

Tools/Libraries

  • PennyLane
  • PennyLane-Lightning
  • PennyLane-Qiskit
  • PennyLane-Cirq
  • PennyLane-SF (Strawberry Fields)
Compartilhar X LinkedIn