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Set up CUDA-Q and write quantum kernels v1.0.0

Use this resource to install CUDA-Q, pick a simulation target and write a Python quantum kernel

New

  • 537 downloads
  • 207 likes
  • 125 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install quantum-kernel-setup-guide

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent points you to the right path for your need: installation, first kernels, GPU or CPU simulation, QPU access or built-in applications. For a port from Qiskit, it routes you to the dedicated skill.

Mostly picked by

Updated November 2, 2026

Card for the “Set up CUDA-Q and write quantum kernels” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md : menu and routing by request
  • references/onboarding.md : getting started and installation
  • references/authoring.md : writing kernels

Good fit for

  • You are new to CUDA-Q and want a first kernel that runs
  • You are choosing between GPU and CPU simulation

Not for

    Tags

    • cuda-q
    • quantum
    • simulation
    • kernel
    • gpu

    About

    You say

    “Install CUDA-Q and write a first kernel that creates an entangled pair of qubits.”

    Card for the “Set up CUDA-Q and write quantum kernels” skill

    Skill published by CUDA-Q Team <cuda-quantum@nvidia.com> under the Apache-2.0 license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to install CUDA-Q, pick a simulation target and write a Python quantum kernel
    3. Review and adjust the result

    Content preview

    Files

    • BENCHMARK.md9.3 KB
    • evals/config.yml1 KB
    • evals/EVAL.md2 KB
    • evals/evals.json9.3 KB
    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/authoring.md20.1 KB
    • references/onboarding.md8.2 KB
    • skill-card.md3.9 KB
    • SKILL.md5 KB
    • skill.oms.sig5.4 KB

    Origin and licence

    Listed unmodified

    Author
    CUDA-Q Team <cuda-quantum@nvidia.com>
    Source
    github.com/nvidia/skills/tree/ca116d60beafe1b4459f0ab790b7b450912c56b0/skills/cudaq-guide
    Licence
    Apache-2.0

    Notice

    « cudaq-guide » (CUDA-Q Team <cuda-quantum@nvidia.com>, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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